RyanJafefKelly

RyanJafefKelly's Stars

• mwouts/jupytext

  Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

  Language:Python6.6k385

• blackjax-devs/sampling-book

  Tutorials and sampling algorithm comparisons

  Language:TeX6812

• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Language:Python8.7k628

• freelunchtheorem/Conditional_Density_Estimation

  Package implementing various parametric and nonparametric methods for conditional density estimation

  Language:Python18624

• betanalpha/mcmc_diagnostics

  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan

  Language:HTML767

• google-research/dex-lang

  Research language for array processing in the Haskell/ML family

  Language:Haskell1.6k107

• normal-computing/thermox

  Exact OU processes with JAX

  Language:Python317

• chi-feng/mcmc-demo

  Interactive Markov-chain Monte Carlo Javascript demos

  Language:JavaScript790115

• danielward27/rnpe

  Language:Jupyter Notebook41

• ChrisWaites/jax-flows

  Normalizing Flows in JAX 🌊

  Language:Python27319

• google-deepmind/penzai

  A JAX research toolkit for building, editing, and visualizing neural networks.

  Language:Python1.7k52

• google-research/tuning_playbook

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

  26.9k2.2k

• geraschenko/gmrfs

  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)

  Language:Jupyter Notebook191

• mackelab/simformer

  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference

  Language:Jupyter Notebook414

• RyanJafefKelly/wrongbutusefulsbi

  Benchmark of misspecified examples common in the SBI literature

  Language:Python2

• charlax/professional-programming

  A collection of learning resources for curious software engineers

  Language:Python46.6k3.7k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.9k1.1k

• cxh1996108/Probability-Theory-and-Examples-5th-edition

  Solution and Useful Links

  324

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++16.8k968

• AI-Hypercomputer/maxtext

  A simple, performant and scalable Jax LLM!

  Language:Python1.5k286

• f-dangel/cockpit

  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

  Language:Python47424

• dirmeier/sbijax

  Simulation-based inference in JAX

  Language:Python212

• betanalpha/quarto_chapters

  Book Chapter Drafts

  Language:HTML255

• egstatsml/arxivsearch

  Pulls papers from arXiv on a weekly basis

  Language:Python303

• cdrovandi/Robust-BSL

  Implementation of the robust Bayesian synthetic likelihood method of https://arxiv.org/abs/1904.04551 for some examples

  Language:MATLAB21

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook22.8k2.4k

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  17.1k2.2k

• google-deepmind/synjax

  Language:Python23814

• patrick-kidger/jaxtyping

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

  Language:Python1.2k61

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.2k1.3k