guilgautier / template-python-project
Attempt to create a boilerplate Python package structure up-to-date tools and workflows
☆15Updated 2 years ago
Alternatives and similar repositories for template-python-project:
Users that are interested in template-python-project are comparing it to the libraries listed below
- ☆80Updated 3 years ago
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆25Updated last month
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- ☆13Updated last year
- Normalizing Flows using JAX☆83Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆112Updated this week
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆32Updated 2 years ago
- A collection of meta-learning algorithms in Jax☆22Updated 2 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆62Updated 2 months ago
- ☆13Updated last month
- Simple tools to mix and match PyTorch and Jax - Get the best of both worlds!☆26Updated 3 months ago
- Normalizing Flows in Jax☆107Updated 4 years ago
- Differentiable Principal Component Analysis (PCA) implementation in JAX☆26Updated last month
- Jaxpr Visualisation Tool☆22Updated 3 months ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- ☆11Updated 4 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 2 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Reinforcement learning tutorials using the rlberry library.☆17Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 4 years ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- ☆18Updated last year
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- JAX Arrays for human consumption☆90Updated last year
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆86Updated last month