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cuda-python

CUDA Python: Performance meets Productivity

alphafold

Open source code for AlphaFold 2.

Python
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2,408

intel-extension-for-pytorch

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

neuraloperator

Learning in infinite dimension with neural operators.

RWKV-LM

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Python
13,338
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