course page for BCB726: machine learning for computational biology

Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)

B-cell Hybrid Immune Variant Engine

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling

CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offering functionalities for downstream analysis of clustering re…

Entropy Based Sampling and Parallel CoT Decoding

List of papers about Proteins Design using Deep Learning

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Reading list for ramping up with professional Python

A list of articles, books, videos related to entrepreneurship

A collection of learning resources for curious software engineers

Deep Learning for Biology

Python-based framework for computational immunomics

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info

Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)