1379 Open source projects that are alternatives of or similar to Xai

Official website for DEVSOC 21, our annual flagship hackathon.

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

🤖🎨🎸A curated list of awesome projects, works, people, articles, and resource for creating art (including music) with machine learning. It's machine learning art.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Building a Simple Chatbot from Scratch in Python (using NLTK)

Open and collaborative content from leet hackers!

EmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.

A curated list of resources for embedded AI

Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario

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/

Code for Java Deep Learning Cookbook

this resporatory have ml,ai,nlp,data science etc.python language related material from many websites eg. datacamp,geeksforgeeks,linkedin,youtube,udemy etc. also it include programming challange/competion solutions

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

Dwarf Fortress + Artificial Intelligence

YARP - Yet Another Robot Platform

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

WolfPACS is an DICOM load balancer written in Erlang.

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

Arnold - DOOM Agent

Time Series Forecasting Best Practices & Examples

Synthesize image datasets of documents in natural scenes with Python+Blender3D

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

README for Rekcurd projects

A collection of datasets that pair questions with SQL queries.

Revisiting Rainbow

Erlang Declarative Debugger

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

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)

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

No description or website provided.

码农周刊 - 史上最全的编程学习资料合集（持续更新）

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

This repository contains landmark research papers in Natural Language Processing that came out in this century.

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

A simple machine learning framework written in Swift 🤖

Tabnine Autocomplete AI: JavaScript, Python, TypeScript, PHP, C/C++, HTML/CSS, Go, Java, Ruby, C#, Rust, SQL, Bash, Kotlin, Julia, Lua, OCaml, Perl, Haskell, React

Making it easier to build stable, trustworthy data-science pipelines.

Snips Python library to extract meaning from text

Power Flows DMN - Powerful decisions and rules engine

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

Google Research

Assessing Generative Models via Precision and Recall (official repository)

A collection of notebooks for Natural Language Processing from NLP Town

Open Source Indonesian Python Programming Tutorial Site

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

PyTorch - Python + Nim

Comparing quality and performance of NLP systems for Russian language

A curated list of Blockchain projects for Artificial Intelligence and Machine Learning

Python PMML scoring library

Exploiting Bitcoin prices patterns with Deep Learning.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Racing game AI

No description or website provided.

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.

OpenAI's Gym written in pure Rust for blazingly fast performance

TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration