1170 Open source projects that are alternatives of or similar to Recurrent Environment Simulators

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

keras project that parses and analyze english resumes

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

R interface to the keras library

Velocity in deep-learning research

Machine Reading Comprehension in Tensorflow

Deep learning for price movement prediction using high frequency limit order data

Text classifier for Hierarchical Attention Networks for Document Classification

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

Sign Language Recognition for Deaf People

Tic Tac Toe Machine Learning

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

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

A Python package for gender classification.

📋 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)

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Some JavaScript works published as demos, mostly ML or DS

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

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

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

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

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

Implementation of q-learning using TensorFlow

The notes for Math, Machine Learning, Deep Learning and Research papers.

A tensorflow implementation for EEGLearn

Some notebooks

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

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

Depth estimation with neural network, and learning on RGBD images

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

tensorflow deep RL for driving a rover around

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

A small and pure Numpy Convolutional Neural Network library.

Application of machine learning to the Coinbase (GDAX) orderbook

Minimalistic gridworld package for OpenAI Gym

Reinforcement Learning in JavaScript

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

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

Binary Convolution Network for faster real-time processing in ASICs

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

GPU Javascript Library for Machine Learning

Robust freeform surface modeling from user 2d sketches.

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

Switchable Normalization for semantic image segmentation and scene parsing.

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

Predict/log/learn/update reinforcement learning loop

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)