cisprague

jax

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

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

imaginAIry

Pythonic AI generation of images and videos

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

dm-haiku

JAX-based neural network library

torch-points3d

Pytorch framework for doing deep learning on point clouds.

numpyro

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

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

mathlib3

Lean 3's obsolete mathematical components library: please use mathlib4

optax

Optax is a gradient processing and optimization library for JAX.

tensorly

TensorLy: Tensor Learning in Python.

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

minified-generative-models

Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc

dcgp

Implementation of a differentiable CGP (Cartesian Genetic Programming)

Python-B-spline-examples

Examples in Python about plotting and interpolating a B-spline curve and their comparison using Numpy, Scipy and Matplotlib.

audi

Header only, C++ library (and the Python pyaudi package) implementing the algebra of Taylor truncated polynomials and a few algorithms useful for its applications (Differential Intelligence, automatic differentiation, Taylor Models, etc.)

NumericalGP

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

autosum

Summarize Publications Automatically

informative-path-planning

Informative path planning repository

JAX-BO

geodesyNets

Experiments with artificial neural networks and geodesy

MetaBO

neurostability

The code used for the paper "On the stability analysis of optimal state feedbacks as represented by deep neural models"

slam_ipp

Informative Path Planning with SLAM in 3D.

trajectory-deep-learning

Deep representation of interplanetary trajectories

pybodhi

Behaviour trees in Python made easy!

FormFlight

Simulation framework for autonomous vehicle formation and assignment

dubins

Dubin's car planning challenge in pure Python.