greydanus's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
karpathy/llm.c
LLM training in simple, raw C/CUDA
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
HIPS/autograd
Efficiently computes derivatives of numpy code.
google/flax
Flax is a neural network library for JAX that is designed for flexibility.
NVIDIA/DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
geohot/minikeyvalue
A distributed key value store in under 1000 lines. Used in production at comma.ai
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
karpathy/makemore
An autoregressive character-level language model for making more things
google/TensorNetwork
A library for easy and efficient manipulation of tensor networks.
jwkvam/celluloid
:movie_camera: Matplotlib animations made easy
jax-md/jax-md
Differentiable, Hardware Accelerated, Molecular Dynamics
rusty1s/pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
google/evojax
google-deepmind/dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
MilesCranmer/lagrangian_nns
Lagrangian Neural Networks
vbuterin/blogmaker
The self-made software package I used to make my blog. Feel free to use it!
google-deepmind/spectral_inference_networks
Implementation of Spectral Inference Networks, ICLR 2019
greydanus/mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
google-research/neural-structural-optimization
Neural reparameterization improves structural optimization
PWhiddy/Growing-Neural-Cellular-Automata-Pytorch
Extended experiments of "Growing Neural Cellular Automata" https://distill.pub/2020/growing-ca/
koulanurag/mmn
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
lzhengchun/deep-image-prior-tensorflow
an implementation of Deep Image Prior using tensorflow
greydanus/ncf
Nature's Cost Function (NCF). Finding paths of least action with gradient descent.
zwimpee/CXResnet
Chest X-Ray Image classification using PyTorch.
distillpub/post--td-paths
The Paths Perspective on Value Learning
yosinski/unstable-diffusion