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
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
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
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
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
machine-learning
python
deep-learning
java
c-sharp
c-plus-plus
distributed
cntk
deep-neural-networks
neural-network
cognitive-toolkit
Обновлено 2022-09-23 17:06:50 +03:00