6767 Open source projects that are alternatives of or similar to Release

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Action recognition using soft attention based deep recurrent neural networks

Stock Trading Bot using Deep Q-Learning

Reinforcement Learning for Portfolio Management

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

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Paper reading notes on Deep Learning and Machine Learning

Real-time portrait segmentation for mobile devices

A one-stop repository for low-code easily-installable object detection pipelines.

Learning to trade under the reinforcement learning framework

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Applying Reinforcement Learning in Quantitative Trading

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

A course in reinforcement learning in the wild

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

深度学习笔记

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

This is the implementation of paper <Additive Margin Softmax for Face Verification>

Quiz & Assignment of Coursera

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

Service Classification based on Service Description

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

DrQ: Data regularized Q

GPU Javascript Library for Machine Learning

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

Some notebooks

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

Reinforcement Learning Workshop for Data Science BKK

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

机器学习与深度学习算法示例

TensorFlow Tutorials with YouTube Videos

This is Andrew NG Coursera Handwritten Notes.

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

🙄 Difficult algorithm, Simple code.

keras를 이용한 딥러닝 기초 학습

Teach a Quadcopter How to Fly!

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

Python for chemoinformatics

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

A repo for data science related questions and answers

Code for Java Deep Learning Cookbook

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

RAD: Reinforcement Learning with Augmented Data

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.