wconnell

wconnell's Stars

• run-llama/llama_index

  LlamaIndex is the leading framework for building LLM-powered agents over your data.

  Language:Python40.4k2626.1k5.8k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  28.4k293442.3k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook14.1k2968573.3k

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML12.5k2762111.7k

• sallar/github-contributions-chart

  :octocat: Generate an image of all your Github contributions

  Language:JavaScript5.4k2466249

• CarperAI/trlx

  A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

  Language:Python4.6k50294477

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.5k30249681

• rmcelreath/stat_rethinking_2022

  Statistical Rethinking course winter 2022

  Language:R4.1k22322443

• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Language:Python3.5k64320672

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.9k1771174

• lucidrains/performer-pytorch

  An implementation of Performer, a linear attention-based transformer, in Pytorch

  Language:Python1.1k1786145

• pachterlab/gget

  🧬 gget enables efficient querying of genomic reference databases

  Language:Python1k87275

• snap-stanford/pretrain-gnns

  Strategies for Pre-training Graph Neural Networks

  Language:Python9941664165

• google/ml_collections

  ML Collections is a library of Python Collections designed for ML use cases.

  Language:Python932172342

• awslabs/dgl-lifesci

  Python package for graph neural networks in chemistry and biology

  Language:Python7491584161

• pyg-team/pytorch-frame

  Tabular Deep Learning Library for PyTorch

  Language:Python638146862

• insitro/redun

  Yet another redundant workflow engine

  Language:Python542156148

• datamol-io/datamol

  Molecular Processing Made Easy.

  Language:Python4851510953

• learningmatter-mit/geom

  GEOM: Energy-annotated molecular conformations

  Language:Jupyter Notebook218101328

• cortes-ciriano-lab/SComatic

  A tool for detecting somatic variants in single cell data

  Language:Python19337429

• AIRI-Institute/GENA_LM

  GENA-LM is a transformer masked language model trained on human DNA sequence.

  Language:Jupyter Notebook18472218

• bunnech/cellot

  Learning Single-Cell Perturbation Responses using Neural Optimal Transport

  Language:Python12734314

• sanderlab/scPerturb

  scPerturb: A resource and a python/R tool for single-cell perturbation data

  Language:Jupyter Notebook1165297

• frederikkemarin/BEND

  Benchmarking DNA Language Models on Biologically Meaningful Tasks

  Language:Python10952515

• KChen-lab/Monopogen

  SNV calling from single cell sequencing

  Language:HTML94210419

• mims-harvard/PINNACLE

  Contextual AI models for single-cell protein biology

  Language:Python823421

• HelloWorldLTY/scEval

  Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.

  Language:Jupyter Notebook644710

• cole-trapnell-lab/sci-plex

  repository containing analysis scripts and auxiliary files

  Language:R33743

• altoslabs/perturbench

  Language:Jupyter Notebook23462

• ekernf01/perturbation_benchmarking

  Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.

  Language:R17323