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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Simple and comprehensive tutorials in TensorFlow

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

A curated list of dedicated resources and applications

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

TensorFlow and Deep Learning Tutorials

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

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

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

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

Deep-Learning Model Exploration and Development for NLP

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

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

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

Anomaly detection implemented in Keras

Reinforcement Learning for Portfolio Management

This is an open sourced book on deep learning.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Implementation of State-of-the-art Text Classification Models in Pytorch

VIP cheatsheets for Stanford's CS 230 Deep Learning

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

HDLTex: Hierarchical Deep Learning for Text Classification

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Deep learning codes and projects using Python

keras project that parses and analyze english resumes

TensorFlow Tutorials

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Implementing reinforcement-learning algorithms for pysc2 -environment

Some of the ML and DL related reading materials, research papers that I've read

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

OpenAI Gym wrapper for the DeepMind Control Suite

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Machine Reading Comprehension in Tensorflow

Repository for most of the code from my YouTube channel

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

RMDL: Random Multimodel Deep Learning for Classification

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

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

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

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Text classifier for Hierarchical Attention Networks for Document Classification

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

A Neural Networking library based on NumPy only

ECG classification programs based on ML/DL methods

Velocity in deep-learning research

The Official Deep Learning Framework for Route-based Place Recognition

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Image Captioning: Implementing the Neural Image Caption Generator with python