Deepinversion Alternatives

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
Suggest Alternative
Alternatives To NVlabs/DeepInversion
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
wujiyang/Face_Pytorch 653 0 0 over 4 years ago 0 52 apache-2.0 Python
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
auroua/InsightFace_TF 607 0 0 over 6 years ago 0 71 mit Python
Insight Face on TensorFlow
szagoruyko/functional-zoo 557 0 0 about 8 years ago 0 4 Jupyter Notebook
PyTorch and Tensorflow functional model definitions
NVlabs/DeepInversion 419 0 0 about 3 years ago 0 8 other Python
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
Media-Smart/vedastr 389 0 0 over 4 years ago 0 14 apache-2.0 Python
A scene text recognition toolbox based on PyTorch
PistonY/ModelZoo.pytorch 29 0 0 over 5 years ago 0 2 mit Python
Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
stefan-it/dl-benchmarks 16 0 0 over 7 years ago 0 1
Deep Learning Benchmark Results (RTX 2080 TI vs. RTX 2070)
ngeorgis/pytorch_onnx_openvino 16 0 0 about 7 years ago 0 0 mit Jupyter Notebook
Validation of the PyTorch -> ONNX -> Intel OpenVino workflow using pretrained ResNet-50
kentaroy47/pytorch-cifar10-fp16 5 0 0 over 6 years ago 0 0 Python
Let's train CIFAR 10 Pytorch with Half-Precision!
Alternatives To NVlabs/DeepInversion
Select To Compare


Alternative Project Comparisons
Popular Functional Programming Projects
Popular Resnet Projects
Popular Software Development Categories
Related Searches
Get A Weekly Email With Trending Projects
No Spam. Unsubscribe easily at any time.
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2026 Awesome Open Source.  All rights reserved.