Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
🦜🔗 The platform for reliable agents.
Python tool for converting files and office documents to Markdown.
A curated list of awesome Machine Learning frameworks, libraries and software.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Fully open reproduction of DeepSeek-R1
An open-source RAG-based tool for chatting with your documents.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
State-of-the-Art Text Embeddings
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
Supercharge Your LLM Application Evaluations 🚀
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
A framework for few-shot evaluation of language models.
Open source annotation tool for machine learning practitioners.
The open source platform for AI-native application development.
A collection of important graph embedding, classification and representation learning papers with implementations.
🌎 Simple and ready-to-use tutorials for TensorFlow
RAG that intelligently adapts to your use case, data, and queries
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Optimizing inference proxy for LLMs
Large Concept Models: Language modeling in a sentence representation space
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org