josephdviviano's Stars
lisa-lab/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
qzed/irl-maxent
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
microsoft/MS-DOS
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
kymatio/kymatio
Wavelet scattering transforms in Python with GPU acceleration
BorgwardtLab/MotiFiesta
Approximate subgraph motif mining through learnable edge contraction.
ggerganov/ggml
Tensor library for machine learning
theplatypus/scott
Scott is a python library to compute, for any fully-labelled (edge and node) graph, a canonical tree representative of its isomorphism class, that can be derived into a canonical trace (string) or adjacency matrix
mahdi722/QR-matrix-decomposition
A python implementation of decomposing a matrix of numbers to 2 matrices of upper triangular and lower triangular which the result of their product will be the original matrix.
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
soniajoseph/ViT-Prisma
ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).
intel/torch-ccl
oneCCL Bindings for Pytorch*
marquisdepolis/LOOP-Evals
Logical Operations On Puzzles: Simple Iterative Reasoning Tests for LLMs first through wordgrids
samgoldman97/enzyme-datasets
Enzyme datasets used to benchmark enzyme-substrate promiscuity models
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
lujiarui/Str2Str
Codebase of the paper "Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling" (ICLR 2024)
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
evo-design/evo
Biological foundation modeling from molecular to genome scale
lvkd84/GraphFP
Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)
jarridrb/DEM
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
GFNOrg/gfn-diffusion
BorgwardtLab/proteinshake
Protein structure datasets for machine learning.
ggerganov/llama.cpp
LLM inference in C/C++
pytorch-labs/float8_experimental
This repository contains the experimental PyTorch native float8 training UX
emdgroup/baybe
Bayesian Optimization and Design of Experiments
flaviucipcigan/matgfn
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
cc-ai/climategan
Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.
sztal/pybdm
Python implementation of block decomposition method for approximating algorithmic complexity
tracel-ai/burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Lightning-Universe/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.