- Palo Alto, CA
Highlights
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The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
🤗 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.
Backward compatible ML compute opset inspired by HLO/MHLO
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the trai…
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implementation of some deep learning algorithms.
A library for efficient similarity search and clustering of dense vectors.
Library for fast text representation and classification.
InferSent sentence embeddings
Setup and customize deep learning environment in seconds.
3.41% and 17.11% error on CIFAR-10 and CIFAR-100
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.