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fiesty-bear
commited on
Commit
·
22342db
1
Parent(s):
6064c9d
Initial Commit
Browse files- app.py +145 -0
- requirements.txt +498 -0
app.py
ADDED
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| 1 |
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| 2 |
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selected_model = 'lookbook' #@param {type:"string"}
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| 3 |
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| 4 |
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# Load model
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import torch
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import numpy as np
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from PIL import Image
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from models import get_instrumented_model
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from decomposition import get_or_compute
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from config import Config
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# Speed up computation
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torch.autograd.set_grad_enabled(False)
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torch.backends.cudnn.benchmark = True
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# Specify model to use
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config = Config(
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model='StyleGAN2',
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layer='style',
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output_class=selected_model,
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components=20,
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use_w=True,
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batch_size=5_000, # style layer quite small
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)
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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inst = get_instrumented_model(config.model, config.output_class,
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config.layer, device, use_w=config.use_w)
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path_to_components = get_or_compute(config, inst)
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model = inst.model
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comps = np.load(path_to_components)
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lst = comps.files
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latent_dirs = []
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latent_stdevs = []
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load_activations = False
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for item in lst:
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if load_activations:
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if item == 'act_comp':
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for i in range(comps[item].shape[0]):
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latent_dirs.append(comps[item][i])
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if item == 'act_stdev':
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for i in range(comps[item].shape[0]):
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latent_stdevs.append(comps[item][i])
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else:
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if item == 'lat_comp':
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for i in range(comps[item].shape[0]):
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latent_dirs.append(comps[item][i])
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if item == 'lat_stdev':
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for i in range(comps[item].shape[0]):
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latent_stdevs.append(comps[item][i])
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#@title Define functions
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def display_sample_pytorch(seed, truncation, directions, distances, scale, start, end, w=None, disp=True, save=None, noise_spec=None):
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# blockPrint()
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model.truncation = truncation
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if w is None:
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w = model.sample_latent(1, seed=seed).detach().cpu().numpy()
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w = [w]*model.get_max_latents() # one per layer
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else:
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w = [np.expand_dims(x, 0) for x in w]
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for l in range(start, end):
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for i in range(len(directions)):
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w[l] = w[l] + directions[i] * distances[i] * scale
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torch.cuda.empty_cache()
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#save image and display
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out = model.sample_np(w)
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final_im = Image.fromarray((out * 255).astype(np.uint8)).resize((500,500),Image.LANCZOS)
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if save is not None:
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if disp == False:
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print(save)
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final_im.save(f'out/{seed}_{save:05}.png')
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if disp:
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display(final_im)
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return final_im
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#@title Demo UI
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import gradio as gr
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import numpy as np
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gr.themes.Glass()
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def generate_image(seed=0, c0=0, c1=0, c2=0, c3=0, c4=0, c5=0, c6=0):
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seed = int(seed)
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params = {'c0': -c0,
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'c1': c1,
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'c2': c2,
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'c3': c3,
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'c4': c4,
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'c5': c5,
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'c6': c6}
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# Assigns slider to the principal components
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param_indexes = {'c0': 12,
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'c1': 6,
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'c2': 7,
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'c3': 2,
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'c4': 11,
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'c5': 9,
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'c6': 10}
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# Save the values from the sliders
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directions = []
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distances = []
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for k, v in params.items():
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directions.append(latent_dirs[param_indexes[k]])
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distances.append(v)
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# Additional settings for image generation
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start_layer = 0
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end_layer = 14
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truncation = 0.5
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return display_sample_pytorch(seed, truncation, directions, distances, 1, int(start_layer), int(end_layer), disp=False)
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# Create a number input for seed
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seed = gr.Number(value=6, label="Seed 1")
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slider_max_val = 5
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slider_min_val = -5
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slider_step = 0.1
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# Create the sliders input
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c0 = gr.Slider(label="Design Pattern", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c1 = gr.Slider(label="Traditional", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c2 = gr.Slider(label="Darker Tone", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c3 = gr.Slider(label="Neck Line", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c4 = gr.Slider(label="Graphics", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c5 = gr.Slider(label="Darker Tone", minimum=slider_min_val, maximum=slider_max_val, value=0)
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c6 = gr.Slider(label="Greenish", minimum=slider_min_val, maximum=slider_max_val, value=0)
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inputs = [seed, c0, c1, c2, c3]
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# Launch demo
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gr.Interface(generate_image, inputs, ["image"], live=True, title="Fashion GAN", description="StyleGan2+SpaceGan to generate parameter controlled images. With ❤ by TCS Rapid Labs").launch(debug=True, share=True)
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requirements.txt
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@@ -0,0 +1,498 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
absl-py==1.4.0
|
| 2 |
+
aiofiles==23.2.1
|
| 3 |
+
aiohttp==3.9.1
|
| 4 |
+
aiosignal==1.3.1
|
| 5 |
+
alabaster==0.7.16
|
| 6 |
+
albumentations==1.3.1
|
| 7 |
+
altair==4.2.2
|
| 8 |
+
anyio==3.7.1
|
| 9 |
+
appdirs==1.4.4
|
| 10 |
+
argon2-cffi==23.1.0
|
| 11 |
+
argon2-cffi-bindings==21.2.0
|
| 12 |
+
array-record==0.5.0
|
| 13 |
+
arviz==0.15.1
|
| 14 |
+
astropy==5.3.4
|
| 15 |
+
astunparse==1.6.3
|
| 16 |
+
async-timeout==4.0.3
|
| 17 |
+
atpublic==4.0
|
| 18 |
+
attrs==23.2.0
|
| 19 |
+
audioread==3.0.1
|
| 20 |
+
autograd==1.6.2
|
| 21 |
+
Babel==2.14.0
|
| 22 |
+
backcall==0.2.0
|
| 23 |
+
beautifulsoup4==4.11.2
|
| 24 |
+
bidict==0.22.1
|
| 25 |
+
bigframes==0.19.0
|
| 26 |
+
bleach==6.1.0
|
| 27 |
+
blinker==1.4
|
| 28 |
+
blis==0.7.11
|
| 29 |
+
blosc2==2.0.0
|
| 30 |
+
bokeh==3.3.3
|
| 31 |
+
boto3==1.34.22
|
| 32 |
+
botocore==1.34.22
|
| 33 |
+
bqplot==0.12.42
|
| 34 |
+
branca==0.7.0
|
| 35 |
+
build==1.0.3
|
| 36 |
+
CacheControl==0.13.1
|
| 37 |
+
cachetools==5.3.2
|
| 38 |
+
catalogue==2.0.10
|
| 39 |
+
certifi==2023.11.17
|
| 40 |
+
cffi==1.16.0
|
| 41 |
+
chardet==3.0.4
|
| 42 |
+
charset-normalizer==3.3.2
|
| 43 |
+
chex==0.1.7
|
| 44 |
+
click==8.1.7
|
| 45 |
+
click-plugins==1.1.1
|
| 46 |
+
cligj==0.7.2
|
| 47 |
+
cloudpickle==2.2.1
|
| 48 |
+
cmake==3.27.9
|
| 49 |
+
cmdstanpy==1.2.0
|
| 50 |
+
colorcet==3.0.1
|
| 51 |
+
colorlover==0.3.0
|
| 52 |
+
colour==0.1.5
|
| 53 |
+
community==1.0.0b1
|
| 54 |
+
confection==0.1.4
|
| 55 |
+
cons==0.4.6
|
| 56 |
+
contextlib2==21.6.0
|
| 57 |
+
contourpy==1.2.0
|
| 58 |
+
cryptography==41.0.7
|
| 59 |
+
cufflinks==0.17.3
|
| 60 |
+
cupy-cuda12x==12.2.0
|
| 61 |
+
cvxopt==1.3.2
|
| 62 |
+
cvxpy==1.3.2
|
| 63 |
+
cycler==0.12.1
|
| 64 |
+
cymem==2.0.8
|
| 65 |
+
Cython==3.0.8
|
| 66 |
+
dask==2023.8.1
|
| 67 |
+
datascience==0.17.6
|
| 68 |
+
db-dtypes==1.2.0
|
| 69 |
+
dbus-python==1.2.18
|
| 70 |
+
debugpy==1.6.6
|
| 71 |
+
decorator==4.4.2
|
| 72 |
+
defusedxml==0.7.1
|
| 73 |
+
diskcache==5.6.3
|
| 74 |
+
distributed==2023.8.1
|
| 75 |
+
distro==1.7.0
|
| 76 |
+
dlib==19.24.2
|
| 77 |
+
dm-tree==0.1.8
|
| 78 |
+
docutils==0.18.1
|
| 79 |
+
dopamine-rl==4.0.6
|
| 80 |
+
duckdb==0.9.2
|
| 81 |
+
earthengine-api==0.1.385
|
| 82 |
+
easydict==1.11
|
| 83 |
+
ecos==2.0.12
|
| 84 |
+
editdistance==0.6.2
|
| 85 |
+
eerepr==0.0.4
|
| 86 |
+
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.6.0/en_core_web_sm-3.6.0-py3-none-any.whl#sha256=83276fc78a70045627144786b52e1f2728ad5e29e5e43916ec37ea9c26a11212
|
| 87 |
+
entrypoints==0.4
|
| 88 |
+
et-xmlfile==1.1.0
|
| 89 |
+
etils==1.6.0
|
| 90 |
+
etuples==0.3.9
|
| 91 |
+
exceptiongroup==1.2.0
|
| 92 |
+
fastai==2.7.13
|
| 93 |
+
fastapi==0.109.0
|
| 94 |
+
fastcore==1.5.29
|
| 95 |
+
fastdownload==0.0.7
|
| 96 |
+
fastjsonschema==2.19.1
|
| 97 |
+
fastprogress==1.0.3
|
| 98 |
+
fastrlock==0.8.2
|
| 99 |
+
fbpca==1.0
|
| 100 |
+
ffmpy==0.3.1
|
| 101 |
+
filelock==3.13.1
|
| 102 |
+
fiona==1.9.5
|
| 103 |
+
firebase-admin==5.3.0
|
| 104 |
+
Flask==2.2.5
|
| 105 |
+
flatbuffers==23.5.26
|
| 106 |
+
flax==0.7.5
|
| 107 |
+
folium==0.14.0
|
| 108 |
+
fonttools==4.47.2
|
| 109 |
+
frozendict==2.4.0
|
| 110 |
+
frozenlist==1.4.1
|
| 111 |
+
fsspec==2023.6.0
|
| 112 |
+
future==0.18.3
|
| 113 |
+
gast==0.5.4
|
| 114 |
+
gcsfs==2023.6.0
|
| 115 |
+
GDAL==3.4.3
|
| 116 |
+
gdown==4.6.6
|
| 117 |
+
geemap==0.30.3
|
| 118 |
+
gensim==4.3.2
|
| 119 |
+
geocoder==1.38.1
|
| 120 |
+
geographiclib==2.0
|
| 121 |
+
geopandas==0.13.2
|
| 122 |
+
geopy==2.3.0
|
| 123 |
+
gin-config==0.5.0
|
| 124 |
+
glob2==0.7
|
| 125 |
+
google==2.0.3
|
| 126 |
+
google-ai-generativelanguage==0.4.0
|
| 127 |
+
google-api-core==2.11.1
|
| 128 |
+
google-api-python-client==2.84.0
|
| 129 |
+
google-auth==2.17.3
|
| 130 |
+
google-auth-httplib2==0.1.1
|
| 131 |
+
google-auth-oauthlib==1.2.0
|
| 132 |
+
google-cloud-aiplatform==1.39.0
|
| 133 |
+
google-cloud-bigquery==3.12.0
|
| 134 |
+
google-cloud-bigquery-connection==1.12.1
|
| 135 |
+
google-cloud-bigquery-storage==2.24.0
|
| 136 |
+
google-cloud-core==2.3.3
|
| 137 |
+
google-cloud-datastore==2.15.2
|
| 138 |
+
google-cloud-firestore==2.11.1
|
| 139 |
+
google-cloud-functions==1.13.3
|
| 140 |
+
google-cloud-iam==2.13.0
|
| 141 |
+
google-cloud-language==2.9.1
|
| 142 |
+
google-cloud-resource-manager==1.11.0
|
| 143 |
+
google-cloud-storage==2.8.0
|
| 144 |
+
google-cloud-translate==3.11.3
|
| 145 |
+
google-colab @ file:///colabtools/dist/google-colab-1.0.0.tar.gz#sha256=6294a64a6af49a94409f8f79ccec6448629262a3bb2cebbd4450060dc293984b
|
| 146 |
+
google-crc32c==1.5.0
|
| 147 |
+
google-generativeai==0.3.2
|
| 148 |
+
google-pasta==0.2.0
|
| 149 |
+
google-resumable-media==2.7.0
|
| 150 |
+
googleapis-common-protos==1.62.0
|
| 151 |
+
googledrivedownloader==0.4
|
| 152 |
+
gradio==3.50.0
|
| 153 |
+
gradio_client==0.6.1
|
| 154 |
+
graphviz==0.20.1
|
| 155 |
+
greenlet==3.0.3
|
| 156 |
+
grpc-google-iam-v1==0.13.0
|
| 157 |
+
grpcio==1.60.0
|
| 158 |
+
grpcio-status==1.48.2
|
| 159 |
+
gspread==3.4.2
|
| 160 |
+
gspread-dataframe==3.3.1
|
| 161 |
+
gym==0.25.2
|
| 162 |
+
gym-notices==0.0.8
|
| 163 |
+
h11==0.14.0
|
| 164 |
+
h5netcdf==1.3.0
|
| 165 |
+
h5py==3.9.0
|
| 166 |
+
holidays==0.40
|
| 167 |
+
holoviews==1.17.1
|
| 168 |
+
html5lib==1.1
|
| 169 |
+
httpcore==1.0.2
|
| 170 |
+
httpimport==1.3.1
|
| 171 |
+
httplib2==0.22.0
|
| 172 |
+
httpx==0.26.0
|
| 173 |
+
huggingface-hub==0.20.2
|
| 174 |
+
humanize==4.7.0
|
| 175 |
+
hyperopt==0.2.7
|
| 176 |
+
ibis-framework==7.1.0
|
| 177 |
+
idna==2.10
|
| 178 |
+
imageio==2.31.6
|
| 179 |
+
imageio-ffmpeg==0.4.9
|
| 180 |
+
imagesize==1.4.1
|
| 181 |
+
imbalanced-learn==0.10.1
|
| 182 |
+
imgaug==0.4.0
|
| 183 |
+
importlib-metadata==7.0.1
|
| 184 |
+
importlib-resources==6.1.1
|
| 185 |
+
imutils==0.5.4
|
| 186 |
+
inflect==7.0.0
|
| 187 |
+
iniconfig==2.0.0
|
| 188 |
+
install==1.3.5
|
| 189 |
+
intel-openmp==2023.2.3
|
| 190 |
+
ipyevents==2.0.2
|
| 191 |
+
ipyfilechooser==0.6.0
|
| 192 |
+
ipykernel==5.5.6
|
| 193 |
+
ipyleaflet==0.18.1
|
| 194 |
+
ipython==7.34.0
|
| 195 |
+
ipython-genutils==0.2.0
|
| 196 |
+
ipython-sql==0.5.0
|
| 197 |
+
ipytree==0.2.2
|
| 198 |
+
ipywidgets==7.7.1
|
| 199 |
+
itsdangerous==2.1.2
|
| 200 |
+
jax==0.4.23
|
| 201 |
+
jaxlib @ https://storage.googleapis.com/jax-releases/cuda12/jaxlib-0.4.23+cuda12.cudnn89-cp310-cp310-manylinux2014_x86_64.whl#sha256=8e42000672599e7ec0ea7f551acfcc95dcdd0e22b05a1d1f12f97b56a9fce4a8
|
| 202 |
+
jeepney==0.7.1
|
| 203 |
+
jieba==0.42.1
|
| 204 |
+
Jinja2==3.1.3
|
| 205 |
+
jmespath==1.0.1
|
| 206 |
+
joblib==1.3.2
|
| 207 |
+
jsonpickle==3.0.2
|
| 208 |
+
jsonschema==4.19.2
|
| 209 |
+
jsonschema-specifications==2023.12.1
|
| 210 |
+
jupyter-client==6.1.12
|
| 211 |
+
jupyter-console==6.1.0
|
| 212 |
+
jupyter-server==1.24.0
|
| 213 |
+
jupyter_core==5.7.1
|
| 214 |
+
jupyterlab-widgets==3.0.9
|
| 215 |
+
jupyterlab_pygments==0.3.0
|
| 216 |
+
kaggle==1.5.16
|
| 217 |
+
kagglehub==0.1.5
|
| 218 |
+
keras==2.15.0
|
| 219 |
+
keyring==23.5.0
|
| 220 |
+
kiwisolver==1.4.5
|
| 221 |
+
langcodes==3.3.0
|
| 222 |
+
launchpadlib==1.10.16
|
| 223 |
+
lazr.restfulclient==0.14.4
|
| 224 |
+
lazr.uri==1.0.6
|
| 225 |
+
lazy_loader==0.3
|
| 226 |
+
libclang==16.0.6
|
| 227 |
+
librosa==0.10.1
|
| 228 |
+
lida==0.0.10
|
| 229 |
+
lightgbm==4.1.0
|
| 230 |
+
linkify-it-py==2.0.2
|
| 231 |
+
llmx==0.0.15a0
|
| 232 |
+
llvmlite==0.41.1
|
| 233 |
+
locket==1.0.0
|
| 234 |
+
logical-unification==0.4.6
|
| 235 |
+
lxml==4.9.4
|
| 236 |
+
malloy==2023.1067
|
| 237 |
+
Markdown==3.5.2
|
| 238 |
+
markdown-it-py==3.0.0
|
| 239 |
+
MarkupSafe==2.1.3
|
| 240 |
+
matplotlib==3.7.1
|
| 241 |
+
matplotlib-inline==0.1.6
|
| 242 |
+
matplotlib-venn==0.11.9
|
| 243 |
+
mdit-py-plugins==0.4.0
|
| 244 |
+
mdurl==0.1.2
|
| 245 |
+
miniKanren==1.0.3
|
| 246 |
+
missingno==0.5.2
|
| 247 |
+
mistune==0.8.4
|
| 248 |
+
mizani==0.9.3
|
| 249 |
+
mkl==2023.2.0
|
| 250 |
+
ml-dtypes==0.2.0
|
| 251 |
+
mlxtend==0.22.0
|
| 252 |
+
more-itertools==10.1.0
|
| 253 |
+
moviepy==1.0.3
|
| 254 |
+
mpmath==1.3.0
|
| 255 |
+
msgpack==1.0.7
|
| 256 |
+
multidict==6.0.4
|
| 257 |
+
multipledispatch==1.0.0
|
| 258 |
+
multitasking==0.0.11
|
| 259 |
+
murmurhash==1.0.10
|
| 260 |
+
music21==9.1.0
|
| 261 |
+
natsort==8.4.0
|
| 262 |
+
nbclassic==1.0.0
|
| 263 |
+
nbclient==0.9.0
|
| 264 |
+
nbconvert==6.5.4
|
| 265 |
+
nbformat==5.9.2
|
| 266 |
+
nest-asyncio==1.5.8
|
| 267 |
+
networkx==3.2.1
|
| 268 |
+
nibabel==4.0.2
|
| 269 |
+
ninja==1.11.1.1
|
| 270 |
+
nltk==3.8.1
|
| 271 |
+
notebook==6.5.5
|
| 272 |
+
notebook_shim==0.2.3
|
| 273 |
+
numba==0.58.1
|
| 274 |
+
numexpr==2.8.8
|
| 275 |
+
numpy==1.23.5
|
| 276 |
+
oauth2client==4.1.3
|
| 277 |
+
oauthlib==3.2.2
|
| 278 |
+
opencv-contrib-python==4.8.0.76
|
| 279 |
+
opencv-python==4.8.0.76
|
| 280 |
+
opencv-python-headless==4.9.0.80
|
| 281 |
+
openpyxl==3.1.2
|
| 282 |
+
opt-einsum==3.3.0
|
| 283 |
+
optax==0.1.7
|
| 284 |
+
orbax-checkpoint==0.4.4
|
| 285 |
+
orjson==3.9.12
|
| 286 |
+
osqp==0.6.2.post8
|
| 287 |
+
packaging==23.2
|
| 288 |
+
pandas==1.5.3
|
| 289 |
+
pandas-datareader==0.10.0
|
| 290 |
+
pandas-gbq==0.19.2
|
| 291 |
+
pandas-stubs==1.5.3.230304
|
| 292 |
+
pandocfilters==1.5.0
|
| 293 |
+
panel==1.3.6
|
| 294 |
+
param==2.0.1
|
| 295 |
+
parso==0.8.3
|
| 296 |
+
parsy==2.1
|
| 297 |
+
partd==1.4.1
|
| 298 |
+
pathlib==1.0.1
|
| 299 |
+
pathy==0.10.3
|
| 300 |
+
patsy==0.5.6
|
| 301 |
+
peewee==3.17.0
|
| 302 |
+
pexpect==4.9.0
|
| 303 |
+
pickleshare==0.7.5
|
| 304 |
+
Pillow==9.4.0
|
| 305 |
+
pins==0.8.4
|
| 306 |
+
pip-tools==6.13.0
|
| 307 |
+
platformdirs==4.1.0
|
| 308 |
+
plotly==5.15.0
|
| 309 |
+
plotnine==0.12.4
|
| 310 |
+
pluggy==1.3.0
|
| 311 |
+
polars==0.17.3
|
| 312 |
+
pooch==1.8.0
|
| 313 |
+
portpicker==1.5.2
|
| 314 |
+
prefetch-generator==1.0.3
|
| 315 |
+
preshed==3.0.9
|
| 316 |
+
prettytable==3.9.0
|
| 317 |
+
proglog==0.1.10
|
| 318 |
+
progressbar2==4.2.0
|
| 319 |
+
prometheus-client==0.19.0
|
| 320 |
+
promise==2.3
|
| 321 |
+
prompt-toolkit==3.0.43
|
| 322 |
+
prophet==1.1.5
|
| 323 |
+
proto-plus==1.23.0
|
| 324 |
+
protobuf==3.20.3
|
| 325 |
+
psutil==5.9.5
|
| 326 |
+
psycopg2==2.9.9
|
| 327 |
+
ptyprocess==0.7.0
|
| 328 |
+
py-cpuinfo==9.0.0
|
| 329 |
+
py4j==0.10.9.7
|
| 330 |
+
pyarrow==10.0.1
|
| 331 |
+
pyarrow-hotfix==0.6
|
| 332 |
+
pyasn1==0.5.1
|
| 333 |
+
pyasn1-modules==0.3.0
|
| 334 |
+
pycocotools==2.0.7
|
| 335 |
+
pycparser==2.21
|
| 336 |
+
pyct==0.5.0
|
| 337 |
+
pydantic==1.10.13
|
| 338 |
+
pydata-google-auth==1.8.2
|
| 339 |
+
pydot==1.4.2
|
| 340 |
+
pydot-ng==2.0.0
|
| 341 |
+
pydotplus==2.0.2
|
| 342 |
+
PyDrive==1.3.1
|
| 343 |
+
PyDrive2==1.6.3
|
| 344 |
+
pydub==0.25.1
|
| 345 |
+
pyerfa==2.0.1.1
|
| 346 |
+
pygame==2.5.2
|
| 347 |
+
Pygments==2.16.1
|
| 348 |
+
PyGObject==3.42.1
|
| 349 |
+
PyJWT==2.3.0
|
| 350 |
+
pymc==5.7.2
|
| 351 |
+
pymystem3==0.2.0
|
| 352 |
+
PyOpenGL==3.1.7
|
| 353 |
+
pyOpenSSL==23.3.0
|
| 354 |
+
pyparsing==3.1.1
|
| 355 |
+
pyperclip==1.8.2
|
| 356 |
+
pyproj==3.6.1
|
| 357 |
+
pyproject_hooks==1.0.0
|
| 358 |
+
pyshp==2.3.1
|
| 359 |
+
PySocks==1.7.1
|
| 360 |
+
pytensor==2.14.2
|
| 361 |
+
pytest==7.4.4
|
| 362 |
+
python-apt==0.0.0
|
| 363 |
+
python-box==7.1.1
|
| 364 |
+
python-dateutil==2.8.2
|
| 365 |
+
python-louvain==0.16
|
| 366 |
+
python-multipart==0.0.6
|
| 367 |
+
python-slugify==8.0.1
|
| 368 |
+
python-utils==3.8.1
|
| 369 |
+
pytz==2023.3.post1
|
| 370 |
+
pyviz_comms==3.0.0
|
| 371 |
+
PyWavelets==1.5.0
|
| 372 |
+
PyYAML==6.0.1
|
| 373 |
+
pyzmq==23.2.1
|
| 374 |
+
qdldl==0.1.7.post0
|
| 375 |
+
qudida==0.0.4
|
| 376 |
+
ratelim==0.1.6
|
| 377 |
+
referencing==0.32.1
|
| 378 |
+
regex==2023.6.3
|
| 379 |
+
requests==2.23.0
|
| 380 |
+
requests-oauthlib==1.3.1
|
| 381 |
+
requirements-parser==0.5.0
|
| 382 |
+
rich==13.7.0
|
| 383 |
+
rpds-py==0.16.2
|
| 384 |
+
rpy2==3.4.2
|
| 385 |
+
rsa==4.9
|
| 386 |
+
s3transfer==0.10.0
|
| 387 |
+
safetensors==0.4.1
|
| 388 |
+
scikit-image==0.19.3
|
| 389 |
+
scikit-learn==1.2.2
|
| 390 |
+
scipy==1.11.4
|
| 391 |
+
scooby==0.9.2
|
| 392 |
+
scs==3.2.4.post1
|
| 393 |
+
seaborn==0.13.1
|
| 394 |
+
SecretStorage==3.3.1
|
| 395 |
+
semantic-version==2.10.0
|
| 396 |
+
Send2Trash==1.8.2
|
| 397 |
+
shapely==2.0.2
|
| 398 |
+
six==1.16.0
|
| 399 |
+
sklearn-pandas==2.2.0
|
| 400 |
+
smart-open==6.4.0
|
| 401 |
+
sniffio==1.3.0
|
| 402 |
+
snowballstemmer==2.2.0
|
| 403 |
+
sortedcontainers==2.4.0
|
| 404 |
+
soundfile==0.12.1
|
| 405 |
+
soupsieve==2.5
|
| 406 |
+
soxr==0.3.7
|
| 407 |
+
spacy==3.6.1
|
| 408 |
+
spacy-legacy==3.0.12
|
| 409 |
+
spacy-loggers==1.0.5
|
| 410 |
+
Sphinx==5.0.2
|
| 411 |
+
sphinxcontrib-applehelp==1.0.7
|
| 412 |
+
sphinxcontrib-devhelp==1.0.5
|
| 413 |
+
sphinxcontrib-htmlhelp==2.0.4
|
| 414 |
+
sphinxcontrib-jsmath==1.0.1
|
| 415 |
+
sphinxcontrib-qthelp==1.0.6
|
| 416 |
+
sphinxcontrib-serializinghtml==1.1.9
|
| 417 |
+
SQLAlchemy==2.0.24
|
| 418 |
+
sqlglot==19.9.0
|
| 419 |
+
sqlparse==0.4.4
|
| 420 |
+
srsly==2.4.8
|
| 421 |
+
stanio==0.3.0
|
| 422 |
+
starlette==0.35.1
|
| 423 |
+
statsmodels==0.14.1
|
| 424 |
+
sympy==1.12
|
| 425 |
+
tables==3.8.0
|
| 426 |
+
tabulate==0.9.0
|
| 427 |
+
tbb==2021.11.0
|
| 428 |
+
tblib==3.0.0
|
| 429 |
+
tenacity==8.2.3
|
| 430 |
+
tensorboard==2.15.1
|
| 431 |
+
tensorboard-data-server==0.7.2
|
| 432 |
+
tensorflow==2.15.0
|
| 433 |
+
tensorflow-datasets==4.9.4
|
| 434 |
+
tensorflow-estimator==2.15.0
|
| 435 |
+
tensorflow-gcs-config==2.15.0
|
| 436 |
+
tensorflow-hub==0.15.0
|
| 437 |
+
tensorflow-io-gcs-filesystem==0.35.0
|
| 438 |
+
tensorflow-metadata==1.14.0
|
| 439 |
+
tensorflow-probability==0.22.0
|
| 440 |
+
tensorstore==0.1.45
|
| 441 |
+
termcolor==2.4.0
|
| 442 |
+
terminado==0.18.0
|
| 443 |
+
text-unidecode==1.3
|
| 444 |
+
textblob==0.17.1
|
| 445 |
+
tf-slim==1.1.0
|
| 446 |
+
thinc==8.1.12
|
| 447 |
+
threadpoolctl==3.2.0
|
| 448 |
+
tifffile==2023.12.9
|
| 449 |
+
tinycss2==1.2.1
|
| 450 |
+
tokenizers==0.15.0
|
| 451 |
+
toml==0.10.2
|
| 452 |
+
tomli==2.0.1
|
| 453 |
+
toolz==0.12.0
|
| 454 |
+
torch @ https://download.pytorch.org/whl/cu121/torch-2.1.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=0d4e8c52a1fcf5ed6cfc256d9a370fcf4360958fc79d0b08a51d55e70914df46
|
| 455 |
+
torchaudio @ https://download.pytorch.org/whl/cu121/torchaudio-2.1.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=676bda4042734eda99bc59b2d7f761f345d3cde0cad492ad34e3aefde688c6d8
|
| 456 |
+
torchdata==0.7.0
|
| 457 |
+
torchsummary==1.5.1
|
| 458 |
+
torchtext==0.16.0
|
| 459 |
+
torchvision @ https://download.pytorch.org/whl/cu121/torchvision-0.16.0%2Bcu121-cp310-cp310-linux_x86_64.whl#sha256=e76e78d0ad43636c9884b3084ffaea8a8b61f21129fbfa456a5fe734f0affea9
|
| 460 |
+
tornado==6.3.2
|
| 461 |
+
tqdm==4.66.1
|
| 462 |
+
traitlets==5.7.1
|
| 463 |
+
traittypes==0.2.1
|
| 464 |
+
transformers==4.35.2
|
| 465 |
+
triton==2.1.0
|
| 466 |
+
tweepy==4.14.0
|
| 467 |
+
typer==0.9.0
|
| 468 |
+
types-pytz==2023.3.1.1
|
| 469 |
+
types-setuptools==69.0.0.20240115
|
| 470 |
+
typing_extensions==4.9.0
|
| 471 |
+
tzlocal==5.2
|
| 472 |
+
uc-micro-py==1.0.2
|
| 473 |
+
uritemplate==4.1.1
|
| 474 |
+
urllib3==1.25.11
|
| 475 |
+
uvicorn==0.26.0
|
| 476 |
+
vega-datasets==0.9.0
|
| 477 |
+
wadllib==1.3.6
|
| 478 |
+
wasabi==1.1.2
|
| 479 |
+
wcwidth==0.2.13
|
| 480 |
+
webcolors==1.13
|
| 481 |
+
webencodings==0.5.1
|
| 482 |
+
websocket-client==1.7.0
|
| 483 |
+
websockets==11.0.3
|
| 484 |
+
Werkzeug==3.0.1
|
| 485 |
+
widgetsnbextension==3.6.6
|
| 486 |
+
wordcloud==1.9.3
|
| 487 |
+
wrapt==1.14.1
|
| 488 |
+
xarray==2023.7.0
|
| 489 |
+
xarray-einstats==0.6.0
|
| 490 |
+
xgboost==2.0.3
|
| 491 |
+
xlrd==2.0.1
|
| 492 |
+
xxhash==3.4.1
|
| 493 |
+
xyzservices==2023.10.1
|
| 494 |
+
yarl==1.9.4
|
| 495 |
+
yellowbrick==1.5
|
| 496 |
+
yfinance==0.2.35
|
| 497 |
+
zict==3.0.0
|
| 498 |
+
zipp==3.17.0
|