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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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🤗 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.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
12 Weeks, 24 Lessons, AI for All!
💫 Industrial-strength Natural Language Processing (NLP) in Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Nano vLLM
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
ModelScope: bring the notion of Model-as-a-Service to life.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
LLM training code for Databricks foundation models
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
AdalFlow: The library to build & auto-optimize LLM applications.
Superfast AI decision making and intelligent processing of multi-modal data.
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
A library for debugging/inspecting machine learning classifiers and explaining their predictions
ContextGem: Effortless LLM extraction from documents
Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.