Reinforcement Learning with Model Predictive Control

Python-CasADi-based package containing several algorithms for solving mixed-integer nonlinear programs (MINLPs)

Pyrallis is a framework for structured configuration parsing from both cmd and files. Simply define your desired configuration structure as a dataclass and let pyrallis do the rest!

CLI and curses mixer for PulseAudio

Official inference repo for FLUX.1 models

[CVPR'23] A Simple Framework for Text-Supervised Semantic Segmentation

EPFL Verifier for Approximate Neural Networks and QPs

MetaDrive: Open-source driving simulator

A better annotation generator. Supports multiple languages and annotation conventions.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …

neovim plugin which synchronises project with rsync on save.

RL environment for solving inverse kinematics for a robot arm with n many joints in 2D

Neovim config for the lazy

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

excalidraw with collaboration feature, self-hosting, and only one-click deploy

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

Lecture on Automated Machine Learning

Virtual whiteboard for sketching hand-drawn like diagrams

make image files for the NYU Depth Dataset V2

Use PyTorch Models with CasADi and Acados

A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints

Fast and embedded solvers for nonlinear optimal control

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Reinforcement Learning in PyTorch

Create powerful Hydra applications without the yaml files and boilerplate code.