Machine Learning
π¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
π Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Feathr β A scalable, unified data and AI engineering platform for enterprise
π€ 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.
Examples and guides for using the OpenAI API
A multi-voice TTS system trained with an emphasis on quality
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Curated list of open source tooling for data-centric AI on unstructured data.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Making large AI models cheaper, faster and more accessible
Using Low-rank adaptation to quickly fine-tune diffusion models.
An awesome & curated list of best LLMOps tools for developers
Open-source, secure environment with real-world tools for enterprise-grade agents.
π‘ All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
Human reinforcement learning (RLHF) framework for AI models. Evaluate and compare LLM outputs, test quality, catch regressions and automate.
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
A high-throughput and memory-efficient inference and serving engine for LLMs