jeremiecoullon Goto Github PK

3d-force-graph

3D force-directed graph component using ThreeJS/WebGL

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

awesome-jax

JAX - A curated list of resources https://github.com/google/jax

bip_lwr

Code for Bayesian Inverse Problem in LWR

bip_lwr-paper

blackjax

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

cities_and_regions-julia

Code from https://github.com/lellam/cities_and_regions ported to Julia

djangoverse-react

Frontend for DjangoVersion

functional_ensemble_sampler

Code for paper: https://arxiv.org/abs/2010.15181

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jax-tqdm

Add a tqdm progress bar to your JAX scans and loops.

jax_mcmc_blog_post

Code to reproduce Jax samplers from blog post

jeremiecoullon

kannada_mnist

PyTorch CNN for Kannada-MNIST classification

knowitwall

Old version of KiW. Current version is here: https://github.com/jeremiecoullon/knowitwall-django

knowitwall-django

Know it Wall website

latchepen

latchepen_django

ldc

London Django Collective website. Also includes DjangoVerse API

learnhack-roombookings

maf

Masked Autoregressive Flow

mcmc-julia

mcx

Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.

myblog

My blog

natural_numbers_post

Code for the "Implementing natural numbers in OCaml" blog post

nn_examples_jax

Some basic neural network examples in JAX

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

prt_post

Code to reproduce figures in the PRT post from my blog

sgmcmcjax

Lightweight library of stochastic gradient MCMC algorithms written in JAX.

sgmcmcjax-joss