6376 Open source projects that are alternatives of or similar to World Models Sonic Pytorch

Reinforcement Learning Workshop for Data Science BKK

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

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

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Paper reading notes on Deep Learning and Machine Learning

Machine Learning notebooks for refreshing concepts.

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

Stock Trading Bot using Deep Q-Learning

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

Repository for most of the code from my YouTube channel

DrQ: Data regularized Q

PyTorch implementation of Soft Actor-Critic (SAC)

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.

Open Machine Learning course at MIPT

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

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

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

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

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

S.M.Ali Eslam et.al. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ICML16

Pioneering the design of materials to harness heat.

Creating a stylised pseudo-3D exoplanet map using matplotlib

Bicubic interpolation for PyTorch

word2vec workshop - a conceptual introduction and practical application

Pre-trained Mongolian BERT models

Handwritten text recognition with Keras

給想體驗如何在微軟AZ notebook上操作GPU及做圖像辨識(以MNIST資料集為例)

Contains solutions to AV competitions

Actor-Critic Instance Segmentation (CVPR 2019)

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

Utilities for nolearn.lasagne

Deep Learning Tutorial in Python with Keras library

Package Installer (pip) UI for JupyterLab

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

A project for developing tutorials for Streams

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

An attempt to formalize my thoughts. A pythonic approach to mental housekeeping

Extract Polyphonic Musical Motives from Audio Recordings

Slides and Supplementary Material of the past TechTalks at the Karlsruhe Machine Learning, Statistics and AI Meetup

Cooperative Cut is a Markov Random Field inference method with high-order edge potentials.

Archive of presentations

A set of Matlab/Octave files that performs a method of Nonlinear System Identification.

Collection of useful notebooks to be used with the Spark Notebook (https://github.com/andypetrella/spark-notebook)

Galaxy Cluster and Weak Lensing Tools

facial landmarking using dlib

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

Analogs of Linguistic Structure in Deep Representations

Mixtures of Probabilistic Principal Component Analysers implementation in python

Ansible role to setup jupyterhub server (deprecated)

A repo of sample data for our PyData Tutorial!

Tutorials on Python Data Containers for no-so-BigData

Instructions for reproducing the research described in the paper "Tempo Estimation for Music Loops and a Simple Confidence Measure"

Overview of NLP tools and techniques in python

MNIST Clasification with Pytorch

The fastest way for developers and managers to gain practical ML knowledge and to apply it to their own projects.

Code and visualizations for related/similar subreddits

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Association Rule Mining from Spatial Data for Crime Analysis

My kaggle competition solution and notebook