7414 Open source projects that are alternatives of or similar to Rl Tutorial Jnrr19

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

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..

Allstate Kaggle Competition ML Capstone Project

The hands-on NLTK tutorial for NLP in Python

RAD: Reinforcement Learning with Augmented Data

Ways of doing Data Science Engineering and Machine Learning in R and Python

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

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

DrQ: Data regularized Q

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

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.

TensorFlow Tutorials with YouTube Videos

jupyter/ipython experiment containers for GPU and general RAM re-use

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

CNN image classifier implemented in Keras Notebook 🖼️.

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

MicaSense RedEdge and Altum image processing tutorials

A PyTorch Library for Reinforcement Learning Research

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

DCGAN face generator 🧑.

Chess reinforcement learning by AlphaGo Zero methods.

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

A repo for data science related questions and answers

Anomaly detection tutorial on univariate time series with an auto-encoder

Tutorials for SimFin - Simple financial data for Python

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Teach a Quadcopter How to Fly!

An environment to high-frequency trading agents under reinforcement learning

This is a jupyter practical tutorial. Welcome to edit together!

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Create publication-quality books from Jupyter notebooks

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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

Tutorial Sessions for SciPy Con 2019

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

A python tutorial on bayesian modeling techniques (PyMC3)

Scenarios, tutorials and demos for Autonomous Driving

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

INTERSPEECH 2019 Tutorial Materials

Building an image classifier using keras

This repository provides everything you need to get started with Python for (social science) research.

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

image processing codes to understand algorithm

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

Combining Psi4 and Numpy for education and development.

🟣 Object detection of abstract shapes with neural networks

PyTorch implementation of Soft Actor-Critic (SAC)

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

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

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

AI research environment for the Atari 2600 games 🤖.

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

top 1% solution to toxic comment classification challenge on Kaggle.

This is Andrew NG Coursera Handwritten Notes.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.