Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-08-23 12:06:25 +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
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
deep-learning
computer-vision
neural-network
semantic-segmentation
semi-supervised-learning
domain-adaptation
pseudo-label
Обновлено 2023-07-07 00:28:52 +03:00
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
Обновлено 2023-06-12 21:55:25 +03:00
Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
deep-learning
neural-network
generative-adversarial-network
differentiable-renderer
point-cloud
point-cloud-completion
Обновлено 2023-04-19 00:04:59 +03:00
A PyTorch Graph Neural Network Library
Обновлено 2022-02-01 20:31:29 +03:00
Deep Learning for Seismic Imaging and Interpretation
microsoft
deep-learning
computer-vision
neural-networks
segmentation
seismic-processing
seismic
seismic-data
seismic-imaging
seismic-inversion
Обновлено 2020-09-19 01:18:20 +03:00
Sample Code for Gated Graph Neural Networks
Обновлено 2019-10-10 12:27:15 +03:00