CAC
A Clustering Based Classification Algorithm (by shivin9)
classification
Classification of the MNIST dataset using various Deep Learning techniques (by giakou4)
| CAC | classification | |
|---|---|---|
| 1 | 1 | |
| 28 | 20 | |
| - | - | |
| 1.8 | 0.0 | |
| over 2 years ago | over 1 year ago | |
| Python | Python | |
| - | MIT License |
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.
CAC
Posts with mentions or reviews of CAC.
We have used some of these posts to build our list of alternatives
and similar projects.
classification
Posts with mentions or reviews of classification.
We have used some of these posts to build our list of alternatives
and similar projects.
-
PyTorch Ensemble model
I created a CNN for a classification problem using 2 different techniques: 1) conventional CNN and 2) contrastive learning (SimCLR framework). As a reference code, I attack the starting point of my coding: https://github.com/giakou4/MNIST_classification.
What are some alternatives?
When comparing CAC and classification you can also consider the following projects:
prompts - ❯ Lightweight, beautiful and user-friendly interactive prompts
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Image-Forgery-Detection-CNN - Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.