ajberlier

ajberlier's Stars

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.9k4633274.2k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook11.2k1192073.3k

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.7k19043994

• aimhubio/aim

  Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

  Language:Python5.2k451k322

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k20135536

• IntelRealSense/realsense-ros

  ROS Wrapper for Intel(R) RealSense(TM) Cameras

  Language:Python2.6k542.5k1.8k

• petercorke/robotics-toolbox-python

  Robotics Toolbox for Python

  Language:Python2.2k56314460

• jwyang/graph-rcnn.pytorch

  [ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

  Language:Python73229113157

• mila-iqia/babyai

  BabyAI platform. A testbed for training agents to understand and execute language commands.

  Language:Python7053646147

• geospace-code/pymap3d

  pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci

  Language:Python396135785

• uzh-rpg/rpg_information_field

  Information Field for Perception-aware Planning

  Language:C++18622437

• gtri/scrimmage

  Multi-Agent Robotics Simulator

  Language:C++1592013994

• kandouss/marlgrid

  Gridworld for MARL experiments

  Language:Python1375625

• Intelligent-Quads/iq_sim

  example gazebo ardupilot simulation package

  Language:CMake11651378

• krakenrf/krakensdr_docs

  Documentation and Wiki for KrakenSDR

  Language:Shell115182725

• Jonas-Nicodemus/PINNs-based-MPC

  We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approximate (partial) differential equations. PINNs are not suited for control tasks in their original form since they are not designed to handle variable control actions or variable initial values. We thus present the idea of enhancing PINNs by adding control actions and initial conditions as additional network inputs. The high-dimensional input space is subsequently reduced via a sampling strategy and a zero-hold assumption. This strategy enables the controller design based on a PINN as an approximation of the underlying system dynamics. The additional benefit is that the sensitivities are easily computed via automatic differentiation, thus leading to efficient gradient-based algorithms. Finally, we present our results using our PINN-based MPC to solve a tracking problem for a complex mechanical system, a multi-link manipulator.

  Language:Python855522

• ColinShaw/machine-learning-resources

  List of books and other resources that are related to deep learning

  Language:Python645017

• vincentschen/limited-label-scene-graphs

  Scene Graph Prediction with Limited Labels

  Language:Jupyter Notebook54555

• kngwyu/Rainy

  :umbrella: Deep RL agents with PyTorch:umbrella:

  Language:Python354155

• caotians1/BabyAIPlusPlus

  BabyAI++: Towards Grounded language Learning beyond Memorization, ICLR BeTR-RL 2020

  Language:Python25311

• mklissa/PPOC

  Proximal Policy Option-Critic

  Language:Python213313

• mila-iqia/teamgrid

  Multiagent gridworld for the TEAM project based on gym-minigrid

  Language:Python12611

• alexacarlson/SensorEffectTransferNetwork

  This is the public git repo for the paper "Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation"

  Language:Python3102

• fmof/ada-tutorial

  Language:Shell3301

• ChristopherSweeney/RGBD_SIM

  This repo contains a model and code to add realistic depth sensor dropout for RGBD camera.

  Language:Python20

• alexxcollins/curriculum

  Language:Python10

• anomnaco/pygrametl_examples

  Gitpod container with postgres and pygrametl examples

  Language:Python1101

• chendagui16/reinforcement-learning-an-introduction

  Python implementation of Reinforcement Learning: An Introduction

  Language:Python1100

• gizatt/pydrake_rgbd_sim

  Language:Python111

• kasraprime/EMMA

  EMMA: Extended Multimodal Alignment

  Language:Jupyter Notebook1300