Lists (2)
Starred repositories
Examples and guides for using the OpenAI API
A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Listing of papers about machine learning for proteins.
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
Tesseract Open Source OCR Engine (main repository)
Open source code for AlphaFold 2.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science
High-quality implementations of standard and SOTA methods on a variety of tasks.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
A curated list of Machine Learning Surveys, Tutorials and Books.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Rain is a simple and clean Jekyll theme with focus on content.
An Open-Source Package for Network Embedding (NE)