assembled-cnn
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network" (by clovaai)
biprop
Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network. (by chrundle)
| assembled-cnn | biprop | |
|---|---|---|
| 1 | 2 | |
| 330 | 44 | |
| 0.6% | - | |
| 0.0 | 0.0 | |
| over 3 years ago | about 2 years ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
assembled-cnn
Posts with mentions or reviews of assembled-cnn.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] ResNet strikes back: An improved training procedure in timm. There has been significant progress on best practices for training neural nets since ResNet's introduction in 2015. With such advances, a vanilla ResNet-50 reaches 80.4% top-1 accuracy on ImageNet without extra data or distillation.
As far as i know, the assemble-ResNet-50 (https://github.com/clovaai/assembled-cnn) gets 82.8% top-1, though they make some (minor) changes to ResNet-50 architecture.
biprop
Posts with mentions or reviews of biprop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-26.
-
[R] Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
Code for https://arxiv.org/abs/2103.09377 found: https://github.com/chrundle/biprop
What are some alternatives?
When comparing assembled-cnn and biprop you can also consider the following projects:
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark
Naruto_Handsign_Classification - Naruto Hand Gesture Recognition with OpenCV and Transfer Learning
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]
autogluon - Fast and Accurate ML in 3 Lines of Code
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.