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GitHub / UppalAnshuk / LIVI_neurips23
Implicit VI for High dimensional Posteriors submitted to NeurIPS 23, supporting code available in this repository
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/UppalAnshuk%2FLIVI_neurips23
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 1.96 MB
Dependencies:
116
Created: 7 months ago
Updated: 7 months ago
Last pushed: 6 months ago
Last synced: 6 months ago
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Dependencies
requirements.txt
pypi
- blas =1.0=openblas
- brotlipy =0.7.0=py39h27cfd23_1003
- bzip2 =1.0.8=h7b6447c_0
- ca-certificates =2023.08.22=h06a4308_0
- certifi =2023.7.22=py39h06a4308_0
- cffi =1.15.1=py39h74dc2b5_0
- charset-normalizer =2.0.4=pyhd3eb1b0_0
- contourpy =1.1.1=pypi_0
- cryptography =41.0.3=py39h130f0dd_0
- cuda-cudart =11.7.99=0
- cuda-cupti =11.7.101=0
- cuda-libraries =11.7.1=0
- cuda-nvrtc =11.7.99=0
- cuda-nvtx =11.7.91=0
- cuda-runtime =11.7.1=0
- cudatoolkit =11.3.1=ha36c431_9
- cudnn =8.9.2.26=cuda11_0
- cupti =11.3.1=0
- cycler =0.12.1=pypi_0
- emacs =24.1.50.1.post20120610=pypi_0
- ffmpeg =4.3=hf484d3e_0
- fonttools =4.43.1=pypi_0
- freetype =2.12.1=h4a9f257_0
- future =0.18.3=py39h06a4308_0
- giflib =5.2.1=h5eee18b_3
- gmp =6.2.1=h295c915_3
- gnutls =3.6.15=he1e5248_0
- idna =3.4=py39h06a4308_0
- importlib-resources =6.1.0=pypi_0
- intel-openmp =2023.2.0=pypi_0
- joblib =1.3.2=pypi_0
- jpeg =9e=h5eee18b_1
- kiwisolver =1.4.5=pypi_0
- lame =3.100=h7b6447c_0
- lcms2 =2.12=h3be6417_0
- ld_impl_linux-64 =2.38=h1181459_1
- lerc =3.0=h295c915_0
- libcublas =11.10.3.66=0
- libcufft =10.7.2.124=h4fbf590_0
- libcufile =1.7.2.10=0
- libcurand =10.3.3.141=0
- libcusolver =11.4.0.1=0
- libcusparse =11.7.4.91=0
- libdeflate =1.17=h5eee18b_1
- libffi =3.3=he6710b0_2
- libgcc-ng =11.2.0=h1234567_1
- libgfortran-ng =11.2.0=h00389a5_1
- libgfortran5 =11.2.0=h1234567_1
- libgomp =11.2.0=h1234567_1
- libiconv =1.16=h7f8727e_2
- libidn2 =2.3.4=h5eee18b_0
- libnpp =11.7.4.75=0
- libnvjpeg =11.8.0.2=0
- libopenblas =0.3.21=h043d6bf_0
- libpng =1.6.39=h5eee18b_0
- libprotobuf =3.20.3=he621ea3_0
- libstdcxx-ng =11.2.0=h1234567_1
- libtasn1 =4.19.0=h5eee18b_0
- libtiff =4.5.1=h6a678d5_0
- libunistring =0.9.10=h27cfd23_0
- libwebp =1.3.2=h11a3e52_0
- libwebp-base =1.3.2=h5eee18b_0
- lz4-c =1.9.4=h6a678d5_0
- magma =2.7.0=h8db6258_0
- matplotlib =3.8.0=pypi_0
- mkl =2021.4.0=h06a4308_640
- ncurses =6.4=h6a678d5_0
- nettle =3.7.3=hbbd107a_1
- networkx =3.1=pypi_0
- ninja =1.10.2=h06a4308_5
- ninja-base =1.10.2=hd09550d_5
- numpy =1.26.0=py39heeff2f4_0
- numpy-base =1.26.0=py39h8a23956_0
- openh264 =2.1.1=h4ff587b_0
- openjpeg =2.4.0=h3ad879b_0
- openssl =1.1.1w=h7f8727e_0
- opt-einsum =3.3.0=pypi_0
- packaging =23.2=pypi_0
- pillow =10.0.1=py39ha6cbd5a_0
- pip =23.2.1=py39h06a4308_0
- pycparser =2.21=pyhd3eb1b0_0
- pyopenssl =23.2.0=py39h06a4308_0
- pyparsing =3.1.1=pypi_0
- pyro-api =0.1.2=pypi_0
- pyro-ppl =1.8.6=pypi_0
- pysocks =1.7.1=py39h06a4308_0
- python =3.9.6=h12debd9_1
- python-dateutil =2.8.2=pypi_0
- pytorch =1.13.1=gpu_cuda113py39hde3f150_1
- pytorch-cuda =11.7=h778d358_5
- pytorch-mutex =1.0=cuda
- pyyaml =6.0=py39h5eee18b_1
- readline =8.2=h5eee18b_0
- requests =2.31.0=py39h06a4308_0
- scikit-learn =1.3.1=pypi_0
- scipy =1.11.3=py39heeff2f4_0
- setuptools =68.0.0=py39h06a4308_0
- six =1.16.0=pypi_0
- sqlite =3.41.2=h5eee18b_0
- stochman =0.3.0=pypi_0
- tbb =2021.10.0=pypi_0
- threadpoolctl =3.2.0=pypi_0
- tk =8.6.12=h1ccaba5_0
- torchaudio =0.13.1=py39_cu117
- torchvision =0.14.1=py39_cu117
- tqdm =4.66.1=pypi_0
- typing-extensions =4.7.1=py39h06a4308_0
- typing_extensions =4.7.1=py39h06a4308_0
- tzdata =2023c=h04d1e81_0
- urllib3 =1.26.16=py39h06a4308_0
- wheel =0.41.2=py39h06a4308_0
- xz =5.4.2=h5eee18b_0
- yaml =0.2.5=h7b6447c_0
- zipp =3.17.0=pypi_0
- zlib =1.2.13=h5eee18b_0
- zstd =1.5.5=hc292b87_0