6850 Open source projects that are alternatives of or similar to Rlai Exercises

Applying Reinforcement Learning in Quantitative Trading

Carefully curated resource links for data science in one place

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A selection of state-of-the-art research materials on decision making and motion planning.

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.

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Awesome Artificial Intelligence Projects

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

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Efficient Learning of Augmentation Policy Schedules

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

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

A course in reinforcement learning in the wild

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

Learning to trade under the reinforcement learning framework

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Artificial intelligence for the Snake game.

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

📚 [.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

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Cryptocurrency Price Prediction Using LSTM neural network

Quiz & Assignment of Coursera

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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

backtrader with DRL ( Deep Reinforcement Learning)

Cornell Instruction Following Framework

Resources to learn more about Machine Learning and Artificial Intelligence

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

Essential Guide to keep up with AI/ML/DL/CV

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

Notes and experiments to understand deep learning concepts

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

真AI人工智能

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

MAGNet: Multi-agents control using Graph Neural Networks

Our NIPS 2017: Learning to Run source code

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

Reinforcement Learning Workshop for Data Science BKK

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

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

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

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

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RAD: Reinforcement Learning with Augmented Data

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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TensorFlow Tutorials with YouTube Videos

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