951 Open source projects that are alternatives of or similar to Fairlearn

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

📎 Summaries of papers on deep learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A social distancing analyzer AI tool to regulate social distancing protocol using video surveillance of CCTV cameras and drones. Social Distancing Analyser to prevent COVID19

A simple but complete full-attention transformer with a set of promising experimental features from various papers

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

CVPR 论文收集，包含但不限于2021、2020、2019、2018、2017文章

A PyTorch Library for Accelerating 3D Deep Learning Research

Predictive AI layer for existing databases.

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

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

🧠 AI powered image tagger backed by DeepDetect

High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.

Code for my medium article

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LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

Implementation of the Point Transformer layer, in Pytorch

最近在学习机器学习，深度学习，自然语言处理，统计学习方法等知识，理论学习主要根据readme的链接，在学习理论的同时，决定自己将学习的相关算法用Python实现一遍，并结合GitHub上相关大牛的代码进行改进，本项目会不断的更新相关算法，欢迎star，fork和关注。 主要包括： 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现， 2.deeplearning.ai（吴恩达老师的深度学习课程笔记及资源） Python实现， 3.李航《统计学习方法》 Python代码实现， 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现， 5.LeetCode刷题，题析，分析心得笔记 Java和Python代码实现， 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow：实战Google深度学习框架（第二版） Python代码实现， 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源，我也准备自己实现一下，后续会更新笔记，代码和百度云网盘链接。 这个项目主要是学习算法的，并且会不断更新相关资源和代码，欢迎关注，star，fork！ Min's blog 欢迎访问我的博客主页！ (Welcome to my blog website !)https://liweimin1996.github.io/

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Natural language virtual assistant using Node.js + Bootstrap

YARP - Yet Another Robot Platform

OCaml bindings for PyTorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Deep learning codes and projects using Python

Exploiting Bitcoin prices patterns with Deep Learning.

DevOps methodology & roadmap for a devops developer in 2019. Interesting books to learn new technologies.

Grokking Deep Reinforcement Learning

A simple from-scratch neural net written in Go

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)

📸 The Camera library that sees the vision.

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

🎯 A comprehensive gradient-free optimization framework written in Python

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

List of Deep Learning Cloud Providers

Datasets, papers and books on AI & Finance.

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

gophersat, a SAT solver in Go

fuzzylite: a fuzzy logic control library in C++

Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

Language, Knowledge, Cognition

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Behavior trees for Unity3D projects. Written with a code driven approach on the builder pattern.

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

📰 Brazilian government gazettes, accessible to everyone.

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

🎮 Unity SDK to use the IBM Watson services.

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

🔥 Awesome list of resources on Web Development.

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.