ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
machine-learning
deep-learning
pytorch
tensorflow
neural-networks
scikit-learn
ai-framework
hardware-acceleration
onnx
Обновлено 2024-11-20 05:08:56 +03:00
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
machine-learning
deep-learning
pytorch
gpu
compression
billion-parameters
data-parallelism
inference
mixture-of-experts
model-parallelism
pipeline-parallelism
trillion-parameters
zero
Обновлено 2024-11-20 04:04:47 +03:00
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-11-19 01:55:46 +03:00
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Обновлено 2024-11-18 06:00:53 +03:00
Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-11-16 00:52:33 +03:00
A .NET library that provides access to the library that powers PyTorch.
Обновлено 2024-11-12 18:27:12 +03:00
A .NET library that provides access to the library that powers PyTorch.
Обновлено 2024-11-12 18:27:12 +03:00
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
machine-learning
deep-learning
python
pytorch
hyperparameter-optimization
automated-machine-learning
automl
model-compression
nas
neural-architecture-search
darts
petridish
Обновлено 2024-10-23 20:40:41 +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 DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
machine-learning
python
deep-learning
pytorch
neural-architecture-search
deep-neural-networks
edge-computing
latency
inference
edge-ai
efficient-model
onnx-models
tensorflow-models
Обновлено 2024-07-31 00:16:53 +03:00
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
deep-learning
computer-vision
pytorch
generative-adversarial-network
image-manipulation
gans
cocosnet
image-synthesis
image-translation
image-generation
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.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
Resource scheduling and cluster management for AI
machine-learning
tensorflow
ai
jupyter
pytorch
artificial-intelligence
model-training
kubernetes
gpu-scheduler
on-premise
resource-management
scheduling
chainer
cloud
cluster-management
cluster-manager
gpu
gpu-cluster
gpu-computing
Обновлено 2024-06-06 10:56:06 +03:00
Samples and Tools for Windows ML.
machine-learning
deep-learning
windows
pytorch
ai
ml
tensorflow
scikit-learn
neural-network
onnx
keras
coreml
caffe2
winmltools
Обновлено 2024-05-28 23:28:15 +03:00
UniSpeech - Large Scale Self-Supervised Learning for Speech
pytorch
speech
diarization
speaker-verification
speech-diarization
speech-processing
speech-recognition
speech-separation
Обновлено 2024-04-05 16:14:48 +03:00
Federated Learning Utilities and Tools for Experimentation
machine-learning
pytorch
simulation
gloo
nccl
personalization
privacy-tools
transformers-models
distributed-learning
federated-learning
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
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
Lite Self-Training
Обновлено 2023-07-25 20:31:38 +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
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
deep-learning
pytorch
natural-language-processing
artificial-intelligence
dnn
question-answering
model-compression
text-classification
knowledge-distillation
text-matching
qna
sequence-labeling
Обновлено 2023-07-22 06:07:54 +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.
microsoft
machine-learning
deep-learning
cpp
pytorch
tensorflow
machine-learning-algorithms
edge-computing
iot-device
protonn
resource-constrained-ml
sensor
bonsai
classifier
edge-devices
edge-machine-learning
emi-rnn
fastgrnn
fastrnn
microsoft-research
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