krzysztofrusek

krzysztofrusek's Stars

• karpathy/nanoGPT

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

  Language:Python38.4k3873206.2k

• typst/typst

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

  Language:Rust36.6k1032.8k986

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.8k291432.3k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k4241701.4k

• google/latexify_py

  A library to generate LaTeX expression from Python code.

  Language:Python7.4k5784392

• qjcg/awesome-typst

  Awesome Typst Links

  Language:Emacs Lisp2.4k2830127

• patrick-kidger/jaxtyping

  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

  Language:Python1.3k1314766

• jax-md/jax-md

  Differentiable, Hardware Accelerated, Molecular Dynamics

  Language:Jupyter Notebook1.2k46160201

• aesara-devs/aesara

  Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.

  Language:Python1.2k19692151

• blackjax-devs/blackjax

  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

  Language:Python86915325108

• probml/dynamax

  State Space Models library in JAX

  Language:Python7272719083

• ott-jax/ott

  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

  Language:Python5551019482

• google/autobound

  AutoBound automatically computes upper and lower bounds on functions.

  Language:Python358101019

• matthewwardrop/formulaic

  A high-performance implementation of Wilkinson formulas for Python.

  Language:Python3581112125

• google/orbax

  Orbax provides common checkpointing and persistence utilities for JAX users

  Language:Python3231011138

• jax-ml/oryx

  Oryx is a library for probabilistic programming and deep learning built on top of Jax.

  Language:Python236102011

• google-deepmind/neural_networks_chomsky_hierarchy

  Neural Networks and the Chomsky Hierarchy

  Language:Python19112820

• probml/sts-jax

  Structural Time Series in JAX

  Language:Jupyter Notebook18719110

• google-deepmind/PGMax

  Loopy belief propagation for factor graphs on discrete variables in JAX

  Language:Jupyter Notebook1377811

• openxla/community

  Stores documents and resources used by the OpenXLA developer community

  113482825

• google-research/spherical-cnn

  Language:Python109545

• patrick-kidger/typst_pyimage

  Typst extension, adding support for generating figures using inline Python code

  Language:Python76301

• darrenjw/fp-ssc-course

  An introduction to functional programming for scalable statistical computing

  Language:Scala71305

• blackjax-devs/sampling-book

  Tutorials and sampling algorithm comparisons

  Language:TeX7042613

• ASEM000/kernex

  Stencil computations in JAX

  Language:Python691103

• m-wojnar/reinforced-lib

  Reinforcement learning library

  Language:Python63314

• eserie/wax-ml

  A Python library for machine-learning and feedback loops on streaming data

  Language:Python60215

• probml/rebayes

  Recursive Bayesian Estimation (Sequential / Online Inference)

  Language:Jupyter Notebook5812585

• google-research/dataclass_array

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

  Language:Python49913

• jax-ml/coix

  Inference Combinators in JAX

  Language:Jupyter Notebook457102