Repository Index

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

• pytorch
• protein-structure
• alphafold2

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

• python
• genetic-algorithm
• optimization
• numpy

Official Repository for the Uni-Mol Series Methods

• molecular-modeling
• pre-trained-model
• pretraining
• deep-learning

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

• kmer
• dnabert-model
• kmer-format
• gpu

A Python native dynamical system simulation framework in the block diagram paradigm.

• blockdiagram
• control-systems
• hierarchical-modeling
• nonlinear-dynamics

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

• artificial-intelligence
• clip
• pathology
• vision-and-language