🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
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Updated
Jun 10, 2024 - Python
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
This AI-powered chatbot enhances customer experience by providing instant responses to queries about menu items, special offers, and more. Built with Python, Flask, PyTorch, and NLTK. It integrates deep learning and natural language processing to understand and respond to user queries.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
FEDn: A production-grade, open federated learning framework. This repository contains the open source Python framework, CLI and API.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Stable Diffusion with only one python script, with the least number of lines and in the least complex way.
A high-throughput and memory-efficient inference and serving engine for LLMs
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A Long Term Training On Artificial Intelligence
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Open source Python library for building bioimage analysis pipelines
📘 The MLOps stack component for experiment tracking
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.
Web app for identifying a firearm based on a picture
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
Quick and easy Diffusers CLI
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release 12 days ago