Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AISTATS, 2022).

A Quantitative Ring Complexity Index for Profiling Ring Topology and Chemical Diversity

AlphaFold 3 inference pipeline.

List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning

List of Molecular and Material design using Generative AI and Deep Learning

计算机视觉相关综述。包括目标检测、跟踪........

Code and results for Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables

A curated list of awesome Bioinformatics libraries and software.

Scripts for next generation sequencing

SMARTS: 'regular expressions' for chemical structures

A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.

MolAICal Homepage

Official repository for the Deep Docking protocol

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

SMILES GPT (SGPT) for chemical design through reinforcement leaerning

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery

DGMs for NLP. A roadmap.

Complexity Based Prompting for Multi-Step Reasoning

Examples and guides for using the OpenAI API

Scripts and resources to create Hetionet v1.0, a heterogeneous network for drug repurposing

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Explore drug-like space with deep generative models