sdpmas's Stars
openai/triton
Development repository for the Triton language and compiler
salesforce/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
dblalock/bolt
10x faster matrix and vector operations
learning-at-home/hivemind
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
danijar/dreamerv3
Mastering Diverse Domains through World Models
eloialonso/iris
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
teddykoker/torchsort
Fast, differentiable sorting and ranking in PyTorch
CoffeeBeforeArch/cuda_programming
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
google/ml-compiler-opt
Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
prathyvsh/category-theory-resources
Resources for learning Category Theory for an enthusiast
GFNOrg/gflownet
Generative Flow Networks
google-deepmind/clrs
zdhNarsil/Awesome-GFlowNets
A curated list of resources about generative flow networks (GFlowNets).
wpeebles/G.pt
Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"
iml-wg/HEPML-LivingReview
Living Review of Machine Learning for Particle Physics
ikostrikov/walk_in_the_park
srush/raspy
An interactive exploration of Transformer programming.
dtsip/in-context-learning
GFNOrg/gfn-lm-tuning
rakhimovv/lvt
The PyTorch implementation of Latent Video Transformer.
markdouthwaite/minimal-flask-api
A template for 'production ready' Flask APIs with Flask & Gunicorn. Includes template test and error-handling files.
tung-nd/TNP-pytorch
Official implementation of Transformer Neural Processes
BobMcDear/neural-network-cuda
A neural network from scratch in CUDA/C++
danielegrattarola/GNCA
Code for "Learning Graph Cellular Automata" (NeurIPS 2021).
xu-ji/information-bottleneck
Deep Learning & Information Bottleneck
tychovdo/lila
Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
KaroliShp/CatGNN
Prototype for a Category Theory-based GNN Library