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A Web Crawler based on LLMs implemented with Ray and Huggingface. The embeddings are saved into a vector database for fast clustering and retrieval
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
A community-maintained Python framework for creating mathematical animations.
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Advanced Quantization Algorithm for LLMs. This is official implementation of "Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs"
Next generation face swapper and enhancer
Simplifying reinforcement learning for complex game environments
🐢 Open-Source Evaluation & Testing for LLMs and ML models
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
Code for the paper: GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
[CVPR 2022] HairCLIP: Design Your Hair by Text and Reference Image
Code for paper A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
Zero-Shot Speech Editing and Text-to-Speech in the Wild
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework Join our Community: https://discord.com/servers/agora-999382051935506503
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Build AI assistants that interact with your systems
A massively parallel, high-level programming language
A massively parallel, optimal functional runtime in Rust
A framework for Claude Opus to intelligently orchestrate subagents.
🌐 The Internet OS! Free, Open-Source, and Self-Hostable.
Automating enterprise workflows with multimodal agents
SakanaAI / vllm
Forked from vllm-project/vllmA high-throughput and memory-efficient inference and serving engine for LLMs
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Analyzing and Improving the Training Dynamics of Diffusion Models (EDM2)
To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.