hanntonkin

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

udlbook

Understanding Deep Learning - Simon J.D. Prince

chatgpt-vscode

A VSCode extension that allows you to use ChatGPT

learn-machine-learning-in-two-months

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

theseus

A library for differentiable nonlinear optimization

nerfies

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

Setting

Compose beautiful preference panels.

torchdyn

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

gym-pybullet-drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

template

This is the repository for the distill web framework

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

lagrangian_nns

Lagrangian Neural Networks

pyMPC

A Model Predictive Control (MPC) Python library based on the OSQP solver.

neural_clbf

Toolkit for learning controllers based on robust control Lyapunov barrier functions

awesome-graph-pde

Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

neural-mpc

torchcontrol

A PyTorch library for all things nonlinear control and reinforcement learning.

Symplectic-ODENet

LyapunovLearning

SE3HamDL

Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"

askGPT

Extension that integrate OpenAI/chatGPT to your visual studio code.

DiffCoSim

By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to enable learning of hybrid dynamics.

DyNODE

DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control

website

Official webpage of the Programming Group on https://programming-group.com

neural-ode-tutorial

Repository for tutorial on Neural ODEs prepared for the UCL AI Society

Symplectic-ODENet