DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Обновлено 2024-10-17 20:50:55 +03:00
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-10-17 12:09:06 +03:00
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Обновлено 2024-10-17 09:34:07 +03:00
Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-10-16 21:50:20 +03:00
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Обновлено 2024-09-13 14:49:34 +03:00
This is an official Pytorch implementation of "Cross View Fusion for 3D Human Pose Estimation, ICCV 2019".
Обновлено 2024-08-31 02:46:56 +03:00
A .NET library that provides access to the library that powers PyTorch.
Обновлено 2024-08-07 01:30:00 +03:00
A .NET library that provides access to the library that powers PyTorch.
Обновлено 2024-08-07 01:30:00 +03:00
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
Обновлено 2024-07-31 00:16:53 +03:00
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
Обновлено 2024-07-25 14:07:42 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Обновлено 2024-07-03 13:54:08 +03:00
UniSpeech - Large Scale Self-Supervised Learning for Speech
Обновлено 2024-04-05 16:14:48 +03:00
Federated Learning Utilities and Tools for Experimentation
Обновлено 2024-01-11 22:20:09 +03:00
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Обновлено 2024-01-09 18:03:18 +03:00
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Обновлено 2023-12-22 22:29:11 +03:00
maximal update parametrization (µP)
Обновлено 2023-10-21 06:45:36 +03:00
An extension to trace, extract, and measure ops from running PyTorch models
Обновлено 2023-10-06 14:40:20 +03:00
A flexible framework for running experiments with PyTorch models in a simulated Federated Learning (FL) environment.
Обновлено 2023-08-11 23:02:52 +03:00
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding (AAAI 2020) - PyTorch Implementation
Обновлено 2023-07-25 19:48:26 +03:00
Official implementation of "VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment"
Обновлено 2023-07-24 03:45:42 +03:00
Обновлено 2023-07-12 10:36:13 +03:00
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
Обновлено 2023-07-07 00:42:22 +03:00
C++ bindings for pytorch
Обновлено 2023-06-27 16:00:20 +03:00
a transductive approach for video object segmentation
Обновлено 2023-06-27 15:56:56 +03:00
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Обновлено 2023-06-13 00:30:31 +03:00
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Обновлено 2023-06-13 00:30:31 +03:00