47,133 repositories indexed
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Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.
Learn what the Event Gateway is, how it works and build your first event-driven multi-cloud application!
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
Learn MongoDB using the terminal
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
:wrench: Hardware & computer guide for AI: how to choose & build a computer. This guide is intended for beginers in hardware, in order to plan what you need and how to choose parts for a computer specialized in Deep Learning. 🤖
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
TensorLight - A high-level framework for TensorFlow
In this course your students will learn the fundamentals of Swift 3 programming, using Geometry as their context for learning. The style of this course mimic "Logo", which is an educational programming language designed in 1967 by Daniel Borrow, Wally Feurzeig, Seymour Papert and Cynthia Soloman.
A playground to learn regular expressions with Swift
▶️ An awesome list of awesome Spanish YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
A Python framework that uses machine learning algorithms to implement the metadata recovery attack against obfuscated programs.
Data engineering and machine learning toolkit for Go.
Prototype of an intelligent safety system for detecting driver drowsiness
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
[wip] Learn node's http module.
Emacs mode for students using the learn-ocaml platform (https://ocaml-sf.org/learn-ocaml) [maintainer=@erikmd]
Exsplore Sprite Kit in this playground. Learn how to setup and use spriteKit and change parmeters to see how it effects the sprites. Updated to Swift3
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
Ceci n'est pas une pomme - Deep Learning on mobile device
Golem Image Classifier is built using the Service API of Yapapi to interact with the Golem Network (golem.network). Built as part of a Gitcoin Bounty