Input Convex Neural Networks

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

🙌 OpenHands: Code Less, Make More

Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteemed universities.

Code for our paper "Hamiltonian Neural Networks"

Reference implementation for the paper "Revisiting Implicit Differentiation for Learning Problems in Optimal Control" (NeurIPS 2023).

Introduction to the Shared Computing Cluster

[ICCV'23] Hidden Biases of End-to-End Driving Models

A fast and differentiable QP solver for PyTorch.

A fast and differentiable model predictive control (MPC) solver for PyTorch.

Auto_Jobs_Applier_AIHawk is a tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized…

pix2tex: Using a ViT to convert images of equations into LaTeX code.

A library for differentiable nonlinear optimization

Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.

Nonlinear Progamming with CasADi

Toolbox for solving CBFs in Python

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

The Advanced Proximal Optimization Toolbox

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

gazebo_sim

A large-scale benchmark and learning environment.

Deep Learning for humans

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

OptNet: Differentiable Optimization as a Layer in Neural Networks