classification VS dnn_from_scratch

Compare classification vs dnn_from_scratch and see what are their differences.

classification

Classification of the MNIST dataset using various Deep Learning techniques (by giakou4)
Pytorch Classification Mnist contrastive-learning simclr multiple-instance-learning Cnn Deep Learning
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dnn_from_scratch

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation). (by ShivamShrirao)
convolutional-neural-networks backpropagate Cnn Gan generative-adversarial-network Deep Learning Mnist cifar Numpy Optimizers Library Python Computer Vision cnn-from-scratch ml-from-scratch Machine Learning neural-network deep-neural-networks Keras
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classification dnn_from_scratch
1 1
20 29
- -
0.0 0.0
over 1 year ago almost 3 years ago
Python Python
MIT License -
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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
    1 project | /r/pytorch | 5 Jan 2022
    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.

dnn_from_scratch

Posts with mentions or reviews of dnn_from_scratch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing classification and dnn_from_scratch you can also consider the following projects:

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

deepxde - A library for scientific machine learning and physics-informed learning

convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

HyperGAN - Composable GAN framework with api and user interface

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

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.

guesslang - Detect the programming language of a source code

open-lpr - Open Source and Free License Plate Recognition Software

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

classification vs disentangling-vae dnn_from_scratch vs deepxde classification vs convolution-vision-transformers dnn_from_scratch vs HyperGAN classification vs pytorch-sentiment-analysis dnn_from_scratch vs ALAE classification vs Image-Forgery-Detection-CNN dnn_from_scratch vs guesslang dnn_from_scratch vs open-lpr dnn_from_scratch vs Mask-RCNN-TF2 dnn_from_scratch vs t81_558_deep_learning dnn_from_scratch vs gan-vae-pretrained-pytorch