- Beijing, China
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22:08
(UTC +08:00) - https://aiddhub.github.io
Stars
OpenGL tutorials based on Professor Lee Stemkoski book "Developing Graphics Frameworks with Python and OpenGL", and port all code to PySide6
Standalone viewer for COMPAS with PyOpenGL and PySide6.
Interaction Fingerprints for protein-ligand complexes and more
Interface for AutoDock, molecule parameterization
A small, highly performant JavaScript component for parsing and drawing SMILES strings. Released under the MIT license.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!
Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
A trainable PyTorch reproduction of AlphaFold 3.
Implementation of Alphafold 3 from Google Deepmind in Pytorch
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step