josephdviviano's Stars
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
lanjelot/patator
Patator is a multi-purpose brute-forcer, with a modular design and a flexible usage.
williamgilpin/dysts
More than a hundred strange attractors
zdhNarsil/Awesome-GFlowNets
A curated list of resources about generative flow networks (GFlowNets).
pinellolab/DNA-Diffusion
🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
AMLab-Amsterdam/L0_regularization
Learning Sparse Neural Networks through L0 regularization
LambdaColdStorage/lambda-tensorflow-benchmark
cmdcolin/oddgenes
A small database of weird gene annotations
recursionpharma/gflownet
GFlowNet library specialized for graph & molecular data
alexhernandezgarcia/gflownet
Generative Flow Networks - GFlowNet
google-research/deep_representation_one_class
GabrielBianconi/pytorch-rbm
Restricted Boltzmann Machines (RBMs) in PyTorch
prathyvsh/Illustrated-Primers
Books that makes heavy use of visuals for scientific communication
theislab/sc-pert
Models and datasets for perturbational single-cell omics
MadryLab/backgrounds_challenge
keitakurita/Better_LSTM_PyTorch
An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
bscellier/Towards-a-Biologically-Plausible-Backprop
theislab/cpa
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
sayakpaul/robustness-foundation-models
This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
scverse/cookiecutter-scverse
Cookiecutter template for scverse
zzzace2000/nodegam
Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
ethanhezhao/NBVAE
Negative-Binomial VAE for discrete data
Bertinus/FLeCS
Flexible and Learnable Cell Simulator
zeligism/eqprop
Equilibrium Propagation
cole-trapnell-lab/scRNASeqSim
A simulator for measuring developmental trajectories with single-cell RNA-seq
RECOVERcoalition/Reservoir
The Data Lake for the Recover coalition
MKorablyov/LambdaZero
Bertinus/causal_cell_embedding