RyanJafefKelly's Stars
charlax/professional-programming
A collection of learning resources for curious software engineers
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
kdeldycke/awesome-falsehood
😱 Falsehoods Programmers Believe in
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
ml-explore/mlx
MLX: An array framework for Apple silicon
state-spaces/mamba
Mamba SSM architecture
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
mwouts/jupytext
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
google-deepmind/penzai
A JAX research toolkit for building, editing, and visualizing neural networks.
AI-Hypercomputer/maxtext
A simple, performant and scalable Jax LLM!
google-research/dex-lang
Research language for array processing in the Haskell/ML family
chi-feng/mcmc-demo
Interactive Markov-chain Monte Carlo Javascript demos
f-dangel/cockpit
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
ChrisWaites/jax-flows
Normalizing Flows in JAX 🌊
freelunchtheorem/Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
betanalpha/mcmc_diagnostics
Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
lmizrahi/etas
calibrate ETAS, simulate using ETAS, estimate completeness magnitude & magnitude frequency distribution
blackjax-devs/sampling-book
Tutorials and sampling algorithm comparisons
mackelab/simformer
Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
cxh1996108/Probability-Theory-and-Examples-5th-edition
Solution and Useful Links
normal-computing/thermox
Exact OU processes with JAX
dirmeier/sbijax
Simulation-based inference in JAX
egstatsml/arxivsearch
Pulls papers from arXiv on a weekly basis
betanalpha/quarto_chapters
Book Chapter Drafts
geraschenko/gmrfs
Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
danielward27/rnpe
himelmallick/awesome_datascience_travel_grants
A curated list of early career data science student paper awards and travel grants.
cdrovandi/Robust-BSL
Implementation of the robust Bayesian synthetic likelihood method of https://arxiv.org/abs/1904.04551 for some examples
john-wang1015/BiologistGuideForSBI
RyanJafefKelly/wrongbutusefulsbi
Benchmark of misspecified examples common in the SBI literature