Mines-Paristech-Students / Portail-des-eleves
The Mines Paristech's student life management application
☆22Updated last year
Related projects: ⓘ
- Cours « science des données » à Mines ParisTech (2019-2020)☆23Updated 4 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆72Updated 6 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆66Updated 2 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆94Updated last year
- Tools for JAX☆44Updated last week
- JAX Arrays for human consumption☆87Updated last year
- Documentation:☆119Updated last year
- ☆46Updated this week
- Making your benchmark of optimization algorithms simple and open☆243Updated last week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆212Updated this week
- A Python package of computer vision models for the Equinox ecosystem.☆100Updated 2 months ago
- Mathematical operations for JAX pytrees☆181Updated 4 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆182Updated 2 months ago
- Turning SymPy expressions into JAX functions☆42Updated 3 years ago
- Cours de science des données en 1A à Mines ParisTech, année 2020-2021.☆15Updated 3 years ago
- Normalizing Flows using JAX☆82Updated 9 months ago
- Attempt to create a boilerplate Python package structure up-to-date tools and workflows☆15Updated last year
- Multiple dispatch over abstract array types in JAX.☆100Updated last month
- UE11, Calcul Différentiel Intégral et Stochastique, MINES ParisTech☆24Updated this week
- Large-scale, multi-GPU capable, kernel solver☆179Updated 2 months ago
- Exponential families for JAX☆54Updated last week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆88Updated 2 weeks ago
- A small library for creating and manipulating custom JAX Pytree classes☆59Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆94Updated 10 months ago
- probabilistic programming focused on fun☆21Updated last week
- A dead simple Python package for creating custom JAX pytree objects☆62Updated 2 months ago
- ☆31Updated this week
- GPU/TPU accelerated nonlinear least-squares curve fitting using JAX☆49Updated last year
- NumPy arrays, ready for human consumption☆63Updated 2 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆220Updated 8 months ago