kexinhuang12345's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
openai/openai-cookbook
Examples and guides for using the OpenAI API
meta-llama/llama3
The official Meta Llama 3 GitHub site
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
sktime/pytorch-forecasting
Time series forecasting with PyTorch
JerBouma/FinanceToolkit
Transparent and Efficient Financial Analysis
learnables/learn2learn
A PyTorch Library for Meta-learning Research
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
duerrsimon/bioicons
A library of free open source icons for science illustrations in biology and chemistry
hail-is/hail
Cloud-native genomic dataframes and batch computing
pachterlab/gget
š§¬ gget enables efficient querying of genomic reference databases
MilesCranmer/symbolic_deep_learning
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
HowieHwong/TrustLLM
[ICML 2024] TrustLLM: Trustworthiness in Large Language Models
aristoteleo/dynamo-release
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
twitter-research/graph-neural-pde
Graph Neural PDEs
snap-stanford/relbench
RelBench: Relational Deep Learning Benchmark
aangelopoulos/ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
broadinstitute/ABC-Enhancer-Gene-Prediction
Cell type specific enhancer-gene predictions using ABC model (Fulco, Nasser et al, Nature Genetics 2019)
Graph-COM/GSAT
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
microsoft/FS-Mol
FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.
Google-Health/genomics-research
livnatje/DIALOGUE
DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map the cell transcriptome as a function of its environment.
cx0/chatGPT-for-genetics
Chat with Open Targets genetics database leveraging text-to-graphQL capabilities of OpenAI Codex.
sankaranlab/SCAVENGE
SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.
CovertLab/WholeCellEcoliRelease
Release of the whole cell E. coli model.
Pseudomanifold/latex-cv
A simple and modern template for your [academic] CV
nadavbra/ukbb_parser
A Python module for loading phenotypic and genetic data from the UK Biobank.
niekverw/ukbpheno
menchelab/MultiOme
Network-based project to explore gene connectivity through biological scales
alexw16/gridnet