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AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
Your Local Artificial Memory on your Device.
More than twenty practical cases with real datasets of application of Machine Learning to the field of Cybersecurity
A framework to empower forecasting using Large Language Models (LLMs)
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
GPT-2 Telegram Chat bot
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
Hierarchical self-organizing maps for unsupervised pattern recognition
OpenAI chatbot for Telegram using GPT-3.
This class is a broad overview and dive into Exploiting AI and the different attacks that exist, and best practice strategies.
Collection of php malware/backdoors/shell
A collection of awesome Machine Learning software, libraries, Learning Tutorials, documents, books, resources and interesting stuff in ML
A developer-friendly template for building AI assistants that combines the best of LangServe, LangGraph, and assistant-ui into one seamless package.
Pipelines for generating large volumes of anonymous artificial data that share some of the characteristics of real NHS data
AGiXT is a dynamic AI Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
A Curation Tool and Dataset of Common Objects in the Context of Africa
gaai - Genetic Algorithm Artificial Intelligence Database Performance Tuning
Genetic programming for math equations with prefix expression trees.
SigNet (Detecting Signature Similarity using Machine Learning/Deep Learning): Is this the end of Human Forensic Analysis?