Showing 5981-6000 of 7,695 projects
Run billion-parameter LLMs on embedded devices with extreme quantization for edge inference
An open-source Python library for sentiment polarity analysis using various machine learning techniques.
A super-kawaii, JavaScript-driven M5Stack-embedded robot for vibe coders and AI enthusiasts.
A Python library that uses Google's BERT for named entity recognition on the CoNLL-2003 dataset.
A state-of-the-art discrete acoustic codec model for audio language modeling with 40/75 tokens per second.
Framework for building AI skills using expert methodologies & proven patterns
A local-first semantic code search engine that uses AI-powered embeddings and vector databases to enable fast, precise code search.
PyTorch implementation of Deep Reinforcement Learning algorithms like TRPO, PPO, A2C, and GAIL.
Cortex is a machine learning library for Clojure, providing a powerful and flexible framework for building AI models.
Multi-account AI model gateway with CLI, dashboard & OAuth proxy for Claude, Gemini, Copilot
Hack Night is an open weekly training session for developers, focused on AI tools and coding.
An open-source GPT-4 language model chatbot implementation in C++.
A collaborative deep learning review paper focused on genomics and precision medicine.
Real-time geopolitical threat mapping with AI-powered intelligence analysis and OSINT data visualization.
An open-source toolkit for general OCR research and applications, with integrated training, evaluation, and production-ready OCR systems.
A deep learning model for removing watermarks and overlays from images, useful for vibe coders working with AI-generated content.
Universal Manipulation Interface: A Python library for teaching robots without real-world robots.
Lightweight Python library for scraping websites using large language models (LLMs) and the Playwright browser automation tool.
An open-source automatic theorem prover for Satisfiability Modulo Theories (SMT) problems.
A high-performance graph embedding system that supports CUDA and can be used for machine learning and knowledge graph applications.
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