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airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

carla

Open-source simulator for autonomous driving research.

datasets

A collection of datasets ready to use with TensorFlow

dlaicourse

Notebooks for learning deep learning

dlfs

Deep Learning from Scratch with Python

dso

Direct Sparse Odometry

gmps

Guided-Meta Policy Search

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hierarchical_il_rl

Code for hierarchical imitation learning and reinforcement learning

kaggle-in-action

Kaggle In Action

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.

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

kornia

Open Source Differentiable Computer Vision Library for PyTorch

lanelet2

Map handling framework for automated driving

linux-magic-trackpad-2-driver

ml-agents

Unity Machine Learning Agents Toolkit

models

Models and examples built with TensorFlow

ogre3d-python-embed

Embedding Python into an ogre3d demo

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

openvslam

OpenVSLAM: A Versatile Visual SLAM Framework

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

prml

PRML algorithms implemented in Python

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.