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A one-stop Terraform module that creates an OpenVPN server in AWS readily provisioned with access by the users defined in the input
The fastai book, published as Jupyter Notebooks
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Reinforcement Learning in Fortnite With Real-Time Screen Capture and Windows Input Simulation
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Write scalable load tests in plain Python 🚗💨
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Create agents that monitor and act on your behalf. Your agents are standing by!
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
A curated list of awesome Go frameworks, libraries and software
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
Design patterns implemented in Java
A distributed message-based food ordering system developed with RabbitMQ, Node.js, Express and MongoDB
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Things to do after installing Fedora 41
Python's package to scrap Twitter's front-end easily
10 Weeks, 20 Lessons, Data Science for All!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
12 Weeks, 24 Lessons, AI for All!
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
📚 Collaborative cheatsheets for console commands
