matthewmackay

matthewmackay's Stars

• astral-sh/ruff

  An extremely fast Python linter and code formatter, written in Rust.

  Language:Rust34.4k1.2k

• MilesCranmer/awesome-ml-demos

  Curated list of interactive ML demos

  34112

• f-dangel/cockpit

  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

  Language:Python47324

• gnobitab/RectifiedFlow

  Official Implementation of Rectified Flow (ICLR2023 Spotlight)

  Language:Python1k61

• kxh001/ITdiffusion

  Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.

  Language:Python30

• gregversteeg/InfoDiffusionSimple

  Information-theoretic diffusion, simplified code example.

  Language:Python31

• addtt/variational-diffusion-models

  PyTorch implementation of Variational Diffusion Models.

  Language:Python775

• google-research/vdm

  Language:Jupyter Notebook30225

• filipbasara0/simple-diffusion

  A minimal implementation of a denoising diffusion model in PyTorch.

  Language:Python11011

• VSehwag/minimal-diffusion

  A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

  Language:Python26439

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python74k8.8k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python38.4k6.2k

• stanford-crfm/levanter

  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

  Language:Python53187

• stanford-crfm/haliax

  Named Tensors for Legible Deep Learning in JAX

  Language:Python15712

• ashleve/lightning-hydra-template

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

  Language:Python4.4k664

• typst/typst

  A new markup-based typesetting system that is powerful and easy to learn.

  Language:Rust36.6k984

• AI-Hypercomputer/maxtext

  A simple, performant and scalable Jax LLM!

  Language:Python1.6k309

• srush/raspy

  An interactive exploration of Transformer programming.

  Language:Jupyter Notebook25521

• probml/dynamax

  State Space Models library in JAX

  Language:Python72783

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.8k2.7k

• patrick-kidger/diffrax

  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  Language:Python1.5k137

• KeAWang/differentiable_t1d

  Differentiable simulators for Type 1 Diabetes research in Jax and PyTorch

  Language:Python7

• neurreps/awesome-neural-geometry

  A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

  93962

• dieterichlawson/snax

  Language:Python121

• patrick-kidger/equinox

  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

  Language:Python2.2k148

• oracleofnj/spectral-repr-cnns

  Implementation of Rippel, Snoek, and Adams 2015 (https://arxiv.org/pdf/1506.03767.pdf)

  Language:Jupyter Notebook3818

• lindermanlab/ssm-jax

  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend

  Language:Jupyter Notebook587

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.7k1.1k

• doomemacs/doomemacs

  An Emacs framework for the stubborn martian hacker

  Language:Emacs Lisp19.8k3.1k

• iffsid/mmvae

  Multimodal Mixture-of-Experts VAE

  Language:Python19844