ShawnKS

openai-cookbook

Examples and guides for using the OpenAI API

AI-Scientist

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

boost

Super-project for modularized Boost

agents

An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

papers_for_protein_design_using_DL

List of papers about Proteins Design using Deep Learning

ydata-synthetic

Synthetic data generators for tabular and time-series data

awesome-deep-learning-single-cell-papers

hyena-dna

Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena

scvelo

RNA Velocity generalized through dynamical modeling

TimeSynth

A Multipurpose Library for Synthetic Time Series Generation in Python

gReLU

gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.

rdkit_summary

rdkit总结与实践

DynamicBind

repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model

gpn

Genomic Pre-trained Network

GenePT

ScaffoldGraph

ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.

timeseries-generator

A library to generate synthetic time series data by easy-to-use factors and generator

LongICLBench

Code and Data for "Long-context LLMs Struggle with Long In-context Learning"

KnowCoder

Official Repo of paper "KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction". In the paper, we propose KnowCoder, the most powerful large language model so far for universal information extraction.

her2st

Her2 Breast Cancer Project

2024_Chandrasekaran_NatureMethods

prefix-linear-attention

VeloVAE

Deep Generative Modeling of RNA Velocity

ReBase

ReBase: Training Task Experts through Retrieval Based Distillation

neuralsph

Neural SPH

openchemlib-hyperspace

substructure search in large combinatorial spaces using openchemlib

PRESTO

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes

data_for_chem

Data for our paper "Chemical Reaction Practicality Judgment via Deep Symbol Artificial Intelligence"

tree-diffusion-schrodinger-bridge

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

coxpresdbr

Parses and summarises data from coexpresdb.jp