Toolbox of models, callbacks, and datasets for AI/ML researchers.
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r/notebooklm points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.
Summarize, analyze and organize your research.
A github util where AI will do the paper reading for you instead.
Write SEO-optimized blog posts and articles using AI. Generate outlines, add keywords, and create content quickly with NetusAI’s AI article generator.
Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.
Enriches training datasets with features from public and community shared data sources.
Distributed system for embedding-based vector retrieval.
Helps find, analyze or synthesize information for research and knowledge discovery.
Interactive Hugging Face app that helps find, analyze or synthesize information for research and knowledge discovery.
Reliable agent framework built on top of the latest OpenAI Assistants API.
Open Diffusion Models for High-Quality Video Generation.
Official inference framework for 1-bit LLMs, by Microsoft. opensource.
"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
Fast open framework for deep learning.
The primary interface for interacting with OpenAI models, supporting chat, coding, data analysis, research, and agent workflows.
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023).
Open Code LLMs for Code Understanding and Generation.
OpenAI’s platform for agentic coding workflows and automated software development tasks.
An agentic AI software engineer. opensource.
Reading Wikipedia to answer open-domain questions.
An open-core tool to automate data and training workflows.
Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.