xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.
AI summary
Transformer library
A library of optimized building blocks for deep learning models using the Transformer architecture.
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A collection of pre-trained machine learning models for various natural language and computer vision tasks, enabling developers to fine-tune and deploy these models on their own projects.
Text embeddings library
Provides dense vector representations for text using transformer networks
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Pre-configured package installer with support for various CPU architectures and Python implementations
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GPU tensor library
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3D data processor
A deep learning library for 3D data processing and computer vision research using PyTorch
Inference engine
A high-performance inference engine for transformer models
Model optimizer
A toolkit for optimizing and accelerating the training and inference of machine learning models on various hardware platforms.
C++ array expression library
A C++ library for efficient multi-dimensional array expressions with lazy broadcasting and computation
Transformer component
A high-performance transformer-based NLP component optimized for GPU acceleration and integration into various frameworks.
Language model backend
Implementations of a neural network architecture for language modeling
Microservice generator
Automates conversion of machine learning code into production-ready microservices with web API and GUI.
