7035 Open source projects that are alternatives of or similar to Notebooks

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Master Thesis: Limit order placement with Reinforcement Learning

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

60_Days_RL_Challenge中文版

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

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

Reinforcement Learning for Portfolio Management

Stock Trading Bot using Deep Q-Learning

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

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Awesome Artificial Intelligence Projects

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..

Multiple implementations for abstractive text summurization , using google colab

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

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.

Grokking Deep Reinforcement Learning

Arnold - DOOM Agent

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

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

Support content for my blog

Solutions of Reinforcement Learning, An Introduction

📚 [.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

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

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

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

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。

Code for Tensorflow Machine Learning Cookbook

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

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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

Resources to learn more about Machine Learning and Artificial Intelligence

Quiz & Assignment of Coursera

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

JavaScript Digital Organisms simulator

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

Daily Dose of Neural Network that Everyone Needs

Cornell Instruction Following 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)

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

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

backtrader with DRL ( Deep Reinforcement Learning)

A gym environment for Stuart Armstrong's model of a treacherous turn.

Create HTML profiling reports from pandas DataFrame objects

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube

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

Notes and experiments to understand deep learning concepts

Seoul AI Gym is a toolkit for developing AI algorithms.

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

Efficient Batched Reinforcement Learning in TensorFlow