pablo2909

pablo2909's Stars

• junegunn/fzf

  :cherry_blossom: A command-line fuzzy finder

  Language:Go69k3932.9k2.5k

• zed-industries/zed

  Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

  Language:Rust56.3k24011.5k3.8k

• romkatv/powerlevel10k

  A Zsh theme

  Language:Shell48.6k1862.5k2.3k

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:MLIR15k1961.7k1.9k

• pre-commit/pre-commit

  A framework for managing and maintaining multi-language pre-commit hooks.

  Language:Python13.6k922.1k858

• marimo-team/marimo

  A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.

  Language:Python11.9k551.2k454

• google-research/big_vision

  Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

  Language:Jupyter Notebook2.8k3878179

• keras-team/keras-core

  A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

  Language:Python1.3k26172117

• willisma/SiT

  Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

  Language:Python794113348

• pnkraemer/tueplots

  Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

  Language:Python68645526

• f-dangel/backpack

  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

  Language:Python57458356

• ott-jax/ott

  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

  Language:Python5721019788

• louaaron/Score-Entropy-Discrete-Diffusion

  [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

  Language:Python53671459

• google-deepmind/torax

  TORAX: Tokamak transport simulation in JAX

  Language:Python410176650

• google/grain

  Library for reading and processing ML training data.

  Language:Python410123033

• patrick-kidger/optimistix

  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

  Language:Python38887419

• fferflo/einx

  Universal Tensor Operations in Einstein-Inspired Notation for Python.

  Language:Python36251610

• ermongroup/ncsnv2

  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

  Language:Python294131060

• samuela/torch2jax

  Run PyTorch in JAX. 🤝

  Language:Python232677

• google/tree-math

  Mathematical operations for JAX pytrees

  Language:Python19810118

• AI-Hypercomputer/maxdiffusion

  Language:Python197161024

• ayaka14732/jax-smi

  JAX Synergistic Memory Inspector

  Language:Python171533

• imbue-ai/carbs

  Cost aware hyperparameter tuning algorithm

  Language:Jupyter Notebook1489615

• jax-ml/jax-ai-stack

  Language:Python14451524

• wiseodd/pub-ready-plots

  Agustinus' very opiniated publication-ready plotting library

  Language:Python62262

• google-research/dataclass_array

  Dataclasses manipulated as numpy arrays (with batching, reshape, slicing,...)

  Language:Python49913

• andrew-cr/tauLDR

  Code for the paper https://arxiv.org/abs/2205.14987v2

  Language:Python48188

• absorensen/the-guide

  Educational material for teaching the random bag of tricks needed to program real-time systems.

  Language:Rust13104

• pnkraemer/experiments-lanczos-adjoints

  Language:Python620

• pnkraemer/mini-stochastic-interpolants

  Language:Python3115