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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Reinforcement Learning Workshop for Data Science BKK

How to train an object detection model with mmdetection

Source material for Python Like You Mean it

Sample notebooks for Kaggle competitions

Tutorial: Web scraping in Python with Beautiful Soup

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

Templates for jupyter notebooks

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

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Some notebooks

Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.

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.

Learning human driver models from NGSIM data with imitation learning.

Sample sample scripts and notebooks on processing satellite imagery

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Best Practices on Recommendation Systems

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

60_Days_RL_Challenge中文版

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

PRML algorithms implemented in Python

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

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

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

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

A workshop on data privacy methods for data scientists.

Teach a Quadcopter How to Fly!

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

Machine learning with scikit-learn tutorial at PyData Chicago 2016

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

CNN image classifier implemented in Keras Notebook 🖼️.

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

A PyTorch Library for Reinforcement Learning Research

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

Combining Psi4 and Numpy for education and development.

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

Tutorial Sessions for SciPy Con 2019

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

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

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

Tutorials for SimFin - Simple financial data for Python

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

Jupyter notebook and datasets from the pandas Q&A video series

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

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

🟣 Object detection of abstract shapes with neural networks

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

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

AI research environment for the Atari 2600 games 🤖.

Deep Reinforcement Learning for de-novo Drug Design

Tutorials for the Astropy Project

Building an image classifier using keras

PyTorch implementation of Soft Actor-Critic (SAC)

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

📒 notebook

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

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