yhr91

yhr91's Stars

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.1k2392.5k3.2k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.5k2271172.8k

• karpathy/llama2.c

  Inference Llama 2 in one file of pure C

  Language:C16.7k1882161.9k

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python4.7k253528476

• whitead/paper-qa

  LLM Chain for answering questions from documents with citations

  Language:Python3.8k40139361

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.5k581.3k546

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k5967449

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python2.5k719383

• facebook/Ax

  Adaptive Experimentation Platform

  Language:Python2.3k69703294

• facebookresearch/pycls

  Codebase for Image Classification Research, written in PyTorch.

  Language:Python2.1k6281237

• pachterlab/gget

  🧬 gget enables efficient querying of genomic reference databases

  Language:Python884116269

• davidliwei/awesome-CRISPR

  List of software/websites/databases/other stuff for genome engineering

  473333105

• wjmaddox/swa_gaussian

  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

  Language:Jupyter Notebook434132180

• muhanzhang/IGMC

  Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

  Language:Python348122984

• openproblems-bio/openproblems

  Formalizing and benchmarking open problems in single-cell genomics

  Language:Jupyter Notebook287617776

• theislab/pertpy

  Perturbation Analysis in the scverse ecosystem.

  Language:Python87419918

• Novartis/cellxgene-gateway

  Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cellxgene) with multiple datasets.

  Language:Python52126132

• dcroote/stanford-thesis-example

  Stanford LaTeX thesis template

  Language:TeX464120

• Future-House/WikiCrow

  26302

• sbooeshaghi/single-cell-vocabulary

  25304