2524 Open source projects that are alternatives of or similar to Artificialintelligenceengines

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

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

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.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

由淺入深的深度學習資源 Collection of deep learning materials for everyone

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Grokking Deep Reinforcement Learning

Code for Java Deep Learning Cookbook

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Multiple implementations for abstractive text summurization , using google colab

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

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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

Monthly Series - Top 10 Machine Learning Articles

A C++ framework for MDPs and POMDPs with Python bindings

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

Reversi reinforcement learning by AlphaGo Zero methods.

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

PyTorch Implementation of DCGAN trained on the CelebA dataset.

A Configurable Recommender Systems Simulation Platform

Arnold - DOOM Agent

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

💫 Industrial-strength Natural Language Processing (NLP) in Python

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

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

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Learning to Learn in TensorFlow

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)

Deep Reinforcement Learning for Keras.

Efficient Batched Reinforcement Learning in TensorFlow

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

deeplearning.ai , By Andrew Ng, All video link

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

Support content for my blog

Build Graph Nets in Tensorflow

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

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

DeepFaceLab is the leading software for creating deepfakes.

Seoul AI Gym is a toolkit for developing AI algorithms.

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

TensorFlow and Deep Learning Tutorials

Resources to learn more about Machine Learning and Artificial Intelligence

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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

Finding the genre of a song with Deep Learning

Disclaimer: This is not an official Google product.

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Implementation of Quickdraw - an online game developed by Google

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

SincNet is a neural architecture for efficiently processing raw audio samples.

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

Daily Dose of Neural Network that Everyone Needs

repo with challenge material for riceteacatpanda (2020)