Showing 2021-2040 of 2,554 projects
E2M is a flexible, open-source tool that converts various file types to Markdown, making it easy for vibe coders to work with content.
A super-kawaii, JavaScript-driven M5Stack-embedded robot for vibe coders and AI enthusiasts.
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.
Cortex is a machine learning library for Clojure, providing a powerful and flexible framework for building AI models.
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++.
Lightweight Python library for scraping websites using large language models (LLMs) and the Playwright browser automation tool.
An autonomous engineering CLI assistant that uses LLMs like Claude and Codex to generate production-ready code from issues.
A Swift package that provides a transformers-like API for implementing transformers models in Swift.
A curated collection of resources for mixture-of-experts models, a powerful AI technique.
A Python library that enables training powerful AI agents using end-to-end reinforcement learning.
A Python library for deploying RKNN-based LLMs on Rockchip NPU platforms.
CRATE is a Python library that enables efficient compression and sparsification of transformer-based models.
A curated list of tools and resources for running large language models (LLMs) locally on your own infrastructure.
A deep neural text understanding framework for ranking and classification tasks in NLP.
RayLLM is a framework for serving large language models (LLMs) on the Ray distributed computing platform.
An open-source AI agent that is compatible with multiple LLM models, allowing developers to easily build AI-powered applications.
A visualization toolbox for LSTM neural networks, useful for developers working with AI/ML models.
Spiking Brain-inspired Large Models with efficient attention, MoE, and spike encoding for AI and ML developers.
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