1097 Open source projects that are alternatives of or similar to Reinforcement Learning For Self Driving Cars

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Semantic segmentation on iPhone using ESPNetv2

Machine learning and data science blog.

Xilinx Deep Learning IP

Notes and comments about Deep Reinforcement Learning papers

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Artificial intelligence for the Snake game.

Sign Language Recognition for Deaf People

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

tensorflow deep RL for driving a rover around

Recognizes the facial emotion and overlays emoji, equivalent to the emotion, on the persons face.

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

MuZero

Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

Reinforcement learning tutorials

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Learning from zero (mostly based off of AlphaZero) in General Game Playing.

vehicle image retrieval using k CNNs ensemble method

Carefully curated resource links for data science in one place

FeatherCNN is a high performance inference engine for convolutional neural networks.

A Multi-agent Learning Framework

Generating proportional fonts with deep learning

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

Implementing reinforcement-learning algorithms for pysc2 -environment

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

A Trading environment base on Gym

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Our NIPS 2017: Learning to Run source code

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

Visualisations for Convolutional Neural Networks in Pytorch

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

An OpenAI-gym-like environment for Little Fighter 2

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Tic Tac Toe Machine Learning

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Reinforcement Learning in JavaScript

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Maze Applied Reinforcement Learning Framework

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

API to run VirtualHome, a Multi-Agent Household Simulator

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Some JavaScript works published as demos, mostly ML or DS

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

A power network simulator with a Reinforcement Learning-focused usage.

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

EEG Sleep stage classification using CNN with Keras