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Browse files- app.py +25 -0
- requirements.txt +280 -0
app.py
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import os
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from huggingface_hub import HfApi
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destination = 'core'
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if os.path.exists('.env'):
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from dotenv import load_dotenv
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load_dotenv()
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if not os.path.exists(destination):
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# security by obscurity
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import subprocess
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repo_url = os.getenv("GIT_CORE")
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command = f'git clone {repo_url} {destination}'
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try:
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subprocess.check_output(command, stderr=subprocess.STDOUT, shell=True)#, env=env)
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print('Repository cloned successfully.')
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except subprocess.CalledProcessError as e:
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print(f'Error cloning repository') #{e.output.decode()}')
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from core.main import demo
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# demo.queue(concurrency_count=3)
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demo.launch()
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requirements.txt
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absl-py==2.2.2
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accelerate==0.34.2
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adagio==0.2.6
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aiofiles==23.2.1
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aiohappyeyeballs==2.4.3
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aiohttp==3.10.10
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aiohttp-cors==0.8.1
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aiosignal==1.3.1
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alembic==1.15.2
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altair==5.3.0
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annotated-types==0.7.0
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antlr4-python3-runtime==4.9.3
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anyio==4.3.0
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appdirs==1.4.4
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asttokens==2.4.1
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async-timeout==4.0.3
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attrs==23.2.0
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auto-sklearn==0.15.0
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autogluon==1.2
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autogluon.common==1.2
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autogluon.core==1.2
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autogluon.features==1.2
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autogluon.multimodal==1.2
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autogluon.tabular==1.2
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autogluon.timeseries==1.2
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beautifulsoup4==4.13.3
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blis==0.7.11
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boto3==1.37.34
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botocore==1.37.34
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cachetools==5.5.2
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catalogue==2.0.10
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catboost==1.2.8
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certifi==2024.2.2
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charset-normalizer==3.3.2
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click==8.1.7
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cloudpathlib==0.21.0
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cloudpickle==3.1.1
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colorama==0.4.6
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colorful==0.5.6
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colorlog==6.9.0
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comm==0.2.1
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confection==0.1.5
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ConfigSpace==0.4.21
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contourpy==1.2.0
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coreforecast==0.0.12
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cycler==0.12.1
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cymem==2.0.11
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Cython==3.0.12
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dask==2024.8.0
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datasets==3.0.1
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debugpy==1.8.1
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decorator==5.1.1
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defusedxml==0.7.1
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| 54 |
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dill==0.3.8
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| 55 |
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distlib==0.3.9
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| 56 |
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distributed==2024.8.0
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| 57 |
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distro==1.9.0
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| 58 |
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dnspython==2.6.1
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| 59 |
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efficientnet-pytorch==0.7.1
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| 60 |
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einops==0.8.0
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| 61 |
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email_validator==2.1.1
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| 62 |
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emcee==3.1.6
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| 63 |
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evaluate==0.4.3
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| 64 |
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exceptiongroup==1.2.0
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| 65 |
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executing==2.0.1
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| 66 |
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fastai==2.7.19
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| 67 |
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fastapi==0.111.0
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| 68 |
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fastapi-cli==0.0.4
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| 69 |
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fastcore==1.7.29
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| 70 |
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fastdownload==0.0.7
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| 71 |
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fastprogress==1.0.3
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| 72 |
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ffmpy==0.3.2
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| 73 |
+
filelock==3.18.0
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| 74 |
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fonttools==4.49.0
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| 75 |
+
frozenlist==1.4.1
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| 76 |
+
fs==2.4.16
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| 77 |
+
fsspec==2024.3.1
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| 78 |
+
fugue==0.9.1
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| 79 |
+
future==1.0.0
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| 80 |
+
gdown==5.2.0
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| 81 |
+
gluonts==0.16.1
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| 82 |
+
google-api-core==2.24.2
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| 83 |
+
google-auth==2.39.0
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| 84 |
+
googleapis-common-protos==1.70.0
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| 85 |
+
grad-cam==1.5.5
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| 86 |
+
gradio==4.44.1
|
| 87 |
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gradio_client==1.3.0
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| 88 |
+
graphviz==0.20.3
|
| 89 |
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greenlet==3.1.1
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| 90 |
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grpcio==1.71.0
|
| 91 |
+
h11==0.14.0
|
| 92 |
+
httpcore==1.0.5
|
| 93 |
+
httptools==0.6.1
|
| 94 |
+
httpx==0.27.0
|
| 95 |
+
huggingface-hub==0.25.2
|
| 96 |
+
hyperopt==0.2.7
|
| 97 |
+
idna==3.6
|
| 98 |
+
imageio==2.34.0
|
| 99 |
+
importlib_metadata==7.0.2
|
| 100 |
+
importlib_resources==6.1.3
|
| 101 |
+
ipykernel==6.29.3
|
| 102 |
+
ipython==8.18.1
|
| 103 |
+
jedi==0.19.1
|
| 104 |
+
Jinja2==3.1.2
|
| 105 |
+
jmespath==1.0.1
|
| 106 |
+
joblib==1.4.2
|
| 107 |
+
jsonschema==4.21.1
|
| 108 |
+
jsonschema-specifications==2023.12.1
|
| 109 |
+
jupyter_client==8.6.0
|
| 110 |
+
jupyter_core==5.7.1
|
| 111 |
+
kiwisolver==1.4.5
|
| 112 |
+
langcodes==3.5.0
|
| 113 |
+
language_data==1.3.0
|
| 114 |
+
lazy_loader==0.3
|
| 115 |
+
liac-arff==2.5.0
|
| 116 |
+
lightgbm==4.5.0
|
| 117 |
+
lightning==2.5.1
|
| 118 |
+
lightning-utilities==0.14.3
|
| 119 |
+
linkify-it-py==2.0.3
|
| 120 |
+
llvmlite==0.43.0
|
| 121 |
+
locket==1.0.0
|
| 122 |
+
Mako==1.3.10
|
| 123 |
+
marisa-trie==1.2.1
|
| 124 |
+
Markdown==3.8
|
| 125 |
+
markdown-it-py==3.0.0
|
| 126 |
+
MarkupSafe==2.1.3
|
| 127 |
+
matplotlib==3.8.3
|
| 128 |
+
matplotlib-inline==0.1.6
|
| 129 |
+
mdit-py-plugins==0.4.2
|
| 130 |
+
mdurl==0.1.2
|
| 131 |
+
memray==1.17.1
|
| 132 |
+
mkl-service==2.4.0
|
| 133 |
+
mlforecast==0.13.4
|
| 134 |
+
model-index==0.1.11
|
| 135 |
+
mpmath==1.3.0
|
| 136 |
+
msgpack==1.1.0
|
| 137 |
+
multidict==6.1.0
|
| 138 |
+
multiprocess==0.70.16
|
| 139 |
+
munch==4.0.0
|
| 140 |
+
murmurhash==1.0.12
|
| 141 |
+
narwhals==1.35.0
|
| 142 |
+
nest-asyncio==1.6.0
|
| 143 |
+
networkx==3.2.1
|
| 144 |
+
nlpaug==1.1.11
|
| 145 |
+
nltk==3.8.1
|
| 146 |
+
numba==0.60.0
|
| 147 |
+
numpy==1.26.4
|
| 148 |
+
omegaconf==2.2.3
|
| 149 |
+
opencensus==0.11.4
|
| 150 |
+
opencensus-context==0.1.3
|
| 151 |
+
opencv-python==4.9.0.80
|
| 152 |
+
opendatalab==0.0.10
|
| 153 |
+
openmim==0.3.9
|
| 154 |
+
openxlab==0.0.11
|
| 155 |
+
optuna==4.3.0
|
| 156 |
+
ordered-set==4.1.0
|
| 157 |
+
orjson==3.10.3
|
| 158 |
+
packaging==23.2
|
| 159 |
+
parso==0.8.3
|
| 160 |
+
partd==1.4.2
|
| 161 |
+
patsy==1.0.1
|
| 162 |
+
pdf2image==1.17.0
|
| 163 |
+
pexpect==4.9.0
|
| 164 |
+
pillow==10.2.0
|
| 165 |
+
platformdirs==4.2.0
|
| 166 |
+
plotly==6.0.1
|
| 167 |
+
preshed==3.0.9
|
| 168 |
+
pretrainedmodels==0.7.4
|
| 169 |
+
prometheus_client==0.21.1
|
| 170 |
+
prompt-toolkit==3.0.43
|
| 171 |
+
propcache==0.2.0
|
| 172 |
+
proto-plus==1.26.1
|
| 173 |
+
protobuf==6.30.2
|
| 174 |
+
psutil==5.9.8
|
| 175 |
+
ptyprocess==0.7.0
|
| 176 |
+
pure-eval==0.2.2
|
| 177 |
+
py-spy==0.4.0
|
| 178 |
+
py4j==0.10.9.9
|
| 179 |
+
pyarrow==17.0.0
|
| 180 |
+
pyasn1==0.6.1
|
| 181 |
+
pyasn1_modules==0.4.2
|
| 182 |
+
pycocotools==2.0.7
|
| 183 |
+
pycryptodome==3.22.0
|
| 184 |
+
pydantic==2.7.1
|
| 185 |
+
pydantic_core==2.18.2
|
| 186 |
+
pydub==0.25.1
|
| 187 |
+
Pygments==2.17.2
|
| 188 |
+
pynisher==0.6.4
|
| 189 |
+
pyparsing==3.1.2
|
| 190 |
+
pyrfr==0.8.3
|
| 191 |
+
PySocks==1.7.1
|
| 192 |
+
pytesseract==0.3.10
|
| 193 |
+
python-dotenv==1.0.1
|
| 194 |
+
python-multipart==0.0.9
|
| 195 |
+
pytorch-lightning==2.5.1
|
| 196 |
+
pytorch-metric-learning==2.3.0
|
| 197 |
+
PyYAML==6.0.1
|
| 198 |
+
pyzmq==25.1.2
|
| 199 |
+
ray==2.39.0
|
| 200 |
+
referencing==0.35.1
|
| 201 |
+
regex==2024.9.11
|
| 202 |
+
requests==2.32.3
|
| 203 |
+
rich==13.7.1
|
| 204 |
+
rpds-py==0.18.1
|
| 205 |
+
rsa==4.9
|
| 206 |
+
ruff==0.4.4
|
| 207 |
+
s3transfer==0.11.4
|
| 208 |
+
safetensors==0.5.3
|
| 209 |
+
scikit-image==0.22.0
|
| 210 |
+
scikit-learn==0.24.2
|
| 211 |
+
scipy==1.12.0
|
| 212 |
+
seaborn==0.13.2
|
| 213 |
+
segmentation-models-pytorch==0.3.3
|
| 214 |
+
semantic-version==2.10.0
|
| 215 |
+
sentencepiece==0.2.0
|
| 216 |
+
seqeval==1.2.2
|
| 217 |
+
shellingham==1.5.4
|
| 218 |
+
smac==1.2
|
| 219 |
+
smart-open==7.1.0
|
| 220 |
+
sniffio==1.3.1
|
| 221 |
+
sortedcontainers==2.4.0
|
| 222 |
+
soupsieve==2.6
|
| 223 |
+
spacy==3.7.5
|
| 224 |
+
spacy-legacy==3.0.12
|
| 225 |
+
spacy-loggers==1.0.5
|
| 226 |
+
SQLAlchemy==2.0.40
|
| 227 |
+
srsly==2.5.1
|
| 228 |
+
stack-data==0.6.3
|
| 229 |
+
starlette==0.37.2
|
| 230 |
+
statsforecast==1.7.8
|
| 231 |
+
statsmodels==0.14.4
|
| 232 |
+
sympy==1.12
|
| 233 |
+
tabulate==0.9.0
|
| 234 |
+
tblib==3.1.0
|
| 235 |
+
tensorboard==2.19.0
|
| 236 |
+
tensorboard-data-server==0.7.2
|
| 237 |
+
tensorboardX==2.6.2.2
|
| 238 |
+
text-unidecode==1.3
|
| 239 |
+
textual==3.1.0
|
| 240 |
+
thinc==8.2.5
|
| 241 |
+
threadpoolctl==3.5.0
|
| 242 |
+
tifffile==2024.2.12
|
| 243 |
+
timm==1.0.3
|
| 244 |
+
tokenizers==0.20.1
|
| 245 |
+
tomlkit==0.12.0
|
| 246 |
+
toolz==0.12.1
|
| 247 |
+
torch==2.2.1
|
| 248 |
+
torchaudio==2.2.1
|
| 249 |
+
torchmetrics==1.2.1
|
| 250 |
+
torchsummary==1.5.1
|
| 251 |
+
torchvision==0.17.1
|
| 252 |
+
tornado==6.4
|
| 253 |
+
tqdm==4.66.5
|
| 254 |
+
traitlets==5.14.1
|
| 255 |
+
transformers==4.45.2
|
| 256 |
+
triad==0.9.8
|
| 257 |
+
triton==2.2.0
|
| 258 |
+
ttach==0.0.3
|
| 259 |
+
typer==0.12.3
|
| 260 |
+
typing_extensions==4.13.2
|
| 261 |
+
uc-micro-py==1.0.3
|
| 262 |
+
ujson==5.10.0
|
| 263 |
+
urllib3==2.4.0
|
| 264 |
+
utilsforecast==0.2.4
|
| 265 |
+
uvicorn==0.29.0
|
| 266 |
+
uvloop==0.19.0
|
| 267 |
+
virtualenv==20.30.0
|
| 268 |
+
wasabi==1.1.3
|
| 269 |
+
watchfiles==0.21.0
|
| 270 |
+
wcwidth==0.2.13
|
| 271 |
+
weasel==0.4.1
|
| 272 |
+
websockets==11.0.3
|
| 273 |
+
Werkzeug==3.1.3
|
| 274 |
+
window_ops==0.0.15
|
| 275 |
+
wrapt==1.17.2
|
| 276 |
+
xgboost==2.1.4
|
| 277 |
+
xxhash==3.5.0
|
| 278 |
+
yarl==1.15.0
|
| 279 |
+
zict==3.0.0
|
| 280 |
+
zipp==3.17.0
|