8769 Open source projects that are alternatives of or similar to Workshops

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

Code, exercises and tutorials of my personal blog ! 📝

A list of software that turns your database into a REST/GraphQL API

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

REST Layer, Go (golang) REST API framework

📄 Research repository for InstaPy

FanCtrl is a software that allows you to automatically control the fan speed on your PC.

A template that includes Sapper for Svelte, Firebase functions and hosting, TypeScript and TypeGraphQL, Tailwind CSS, ESLint, and automatic building and deployment with GitHub Actions

🔥 Firebase app architectures, languages, tools & some GCP things! React w Next.js, Svelte w Sapper, Cloud Functions, Cloud Run.

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Directus Database API — Wraps Custom SQL Databases with a REST/GraphQL API

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

EliasDB a graph-based database.

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Translate APIs described by OpenAPI Specifications (OAS) into GraphQL

🏆 A ranked list of awesome python libraries for web development. Updated weekly.

Machine learning discord bot , Detects diseases within seconds with just an xray scan

Tiledesk server. Tiledesk is an Open Source Live Chat platform written in NodeJs and MongoDB

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

A complete starter kit that allows you create amazing apps that look native thanks to the Quasar Framework. Powered by an API developed in Laravel Framework using the easy GraphQL queries language. And ready to use the Google Firebase features.

A collection of materials to help you learn about deep learning

Open Sourced Curriculum and Lessons for an Introductory AI/ML Course

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Boilerplate (seed) project for creating web apps with React.js, GraphQL.js and Relay

Monorepo of the PoP project, including: a server-side component model in PHP, a GraphQL server, a GraphQL API plugin for WordPress, and a website builder

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

The Rick and Morty API

🔥 🔗 apollo-link-firebase provides you a simple way to use Firebase with graphQL.

Food Classification with Deep Learning in Keras / Tensorflow

API em NodeJs usando Typescript, TDD, Clean Architecture, Design Patterns e SOLID principles

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

REST API for app ideas built in nestjs

👽 Open source API development ecosystem https://hoppscotch.io

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

🚀 NLW #4 | React+ TypeScript + NextJS + StyledComponents + Firebase + MongoDb +Axios

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

GitMessenger is github chat app built with socket.io , firebase, nodejs and bootstrap where developers can share code,images and much more 😊

API server module for Node/Express

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

Pytorch implementation of the DeepDream computer vision algorithm

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

NOKIA Book covers selected aspects of the telecommunication industry programmer's work

Transform a JSON file into a serverless REST API in AWS cloud

machine learning

An open source github contribution analyzer

LiQi of robinwen.

All For NLP, especially Chinese.

Data augmentation for NLP

Android app that identifies and detects Pokemons in the provided Image using Tensorflow Lite and Firebase MLKit

CNN image classifier implemented in Keras Notebook 🖼️.

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/

An example of a GraphQL setup with a Firebase Firestore backend. Uses Apollo Engine/Server 2.0 and deployed to Google App Engine.

GraphQL Superpowers for Google Cloud Firestore

A simple API wrapper for Shopify using Guzzle for REST and GraphQL

Webtau (short for web test automation) is a testing API, command line tool and a framework to write unit, integration and end-to-end tests. Test across REST-API, Graph QL, Browser, Database, CLI and Business Logic with consistent set of matchers and concepts. REPL mode speeds-up tests development. Rich reporting cuts down investigation time.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.