1396 Open source projects that are alternatives of or similar to Elf

List of summer schools in machine learning + related fields across the globe

Reinforcement Learning Cheat Sheet

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

Flappy Bird AI using Evolution Strategies

QANTA Quiz Bowl AI

Laravel open source e-commerce system.

Dwarf Fortress + Artificial Intelligence

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

A Javascript NES Emulator

Autodifferentiation package in Rust.

Collection of Artificial Intelligence projects.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Reinforcement learning algorithms for MuJoCo tasks

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Collection of stats, modeling, and data science tools in Python and R.

A library of reinforcement learning components and agents

Stream your applications with Parsec and AWS on the cheap.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Trading environnement for RL agents, backtesting and training.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

A single-page website aiming to provide innovative and intuitive visualizations of common and AI algorithms.

Reinforcement learning for energy systems

AI斗地主

Library to scrape and clean web pages to create massive datasets.

Time Series Forecasting Best Practices & Examples

Fully featured implementation of Routing Transformer

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Log Anomaly Detection - Machine learning to detect abnormal events logs

Implementation of Slot Attention from GoogleAI

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

🌠 Easily manage 🍷prefix in a new way! (Run Windows software and games on Linux)

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

A Compositional Object-Based Approach to Learning Physical Dynamics

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees

ECG arrhythmia classification using a 2-D convolutional neural network

An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.

Studying Reinforcement Learning Guide

Scalable Implementation of Deep CFR and Single Deep CFR

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

Be Driven 🚘

Build Gallium Nine support on top of an existing WINE installation

TensorFlow C API Class Wrapper in Server Side Swift.

Avalanche: a End-to-End Library for Continual Learning.

A PyTorch implementation of Rainbow DQN agent

Image quality is an open source software library for Image Quality Assessment (IQA).

A high-performance distributed training framework for Reinforcement Learning

Chess reinforcement learning by AlphaGo Zero methods.

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Up to date (2021) reference for setting up a VGA passthrough on (Ubuntu) Linux.

Telenav.AI competition public repository

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Notebook for my medium article about how to use Dataset API in TensorFlow

self-studying the Sutton & Barto the hard way

ncnn is a high-performance neural network inference framework optimized for the mobile platform

🌄 Open Source AI Landscape - provides overview of top tier projects in the open source AI ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.