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High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Topic Modelling for Humans
Machine learning, in numpy
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
Video editing with Python
TranslatedBlind&Invisible Watermark, image blind watermark, no original image needed to extract the watermark!
NLTK Source
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Python Imaging Library (fork)
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.
The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.
TranslatedMachine learning tutorials
🐍 Geometric Computer Vision Library for Spatial AI
An open-source, tool-augmented conversational language model from Fudan University
The official GitHub page for the survey paper "A Survey of Large Language Models".
A PyTorch-based Speech Toolkit
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Low-code framework for building custom LLMs, neural networks, and other AI models
Cross-platform lib for process and system monitoring in Python
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Fast and Accurate ML in 3 Lines of Code