Showing 461-480 of 2,554 projects
Multi-agent system for AI-driven software development, combining LLMs with DevOps tools to convert natural language requirements into working software.
LLocalSearch is a locally running search aggregator using LLM Agents to find answers from user questions.
A Go-based multi-channel AI proxy with intelligent key rotation for vibe coders using AI tools
A powerful system for quickly generating high-quality training data with weak supervision for AI/ML projects.
This project fine-tunes the LLaMA language model to follow instructions within 1 hour and 1.2M parameters.
PyTorch implementations of deep reinforcement learning algorithms and environments for AI/ML research.
Gorgonia is a Go library that helps facilitate machine learning and deep learning development.
This project aims to speed up large language model (LLM) inference and enhance their understanding of key information through prompt and KV-Cache compression.
An open-source framework for building data-centric, self-evolving autonomous language agents.
A Python library for building language models and prompt-engineering AI assistants.
A comprehensive deep learning course with TensorFlow focused on foundational concepts and practical applications.
Kokoro is a powerful AI-driven coding assistant that helps developers build applications using natural language prompts.
A research paper that introduces a novel approach for using large language models to solve complex problems through a tree-based reasoning process.
A Python-based library for solving visual understanding tasks using reinforced visual-linguistic models (VLMs).
This is an AI-focused development platform for building with AI tools and services.
Automatically generates short videos with AI LLM and publishes them to multiple platforms.
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
ComfyUI_IPAdapter_plus is a Python library that extends the ComfyUI project to enable interoperability with various AI models and tools.
Chinese version of CLIP for cross-modal retrieval and representation generation
Material for lectures on GPU-accelerated computing, focused on AI and machine learning topics.
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