pytorch-image-classification VS SimCLR

Compare pytorch-image-classification vs SimCLR and see what are their differences.

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision. (by bentrevett)
Pytorch pytorch-tutorial image-classification Cnn torchvision lenet alexnet vgg resnet Tutorial pytorch-implmention pytorch-implementation pytorch-tutorials pytorch-cnn convolutional-neural-networks convolutional-neural-network convolutional-networks
Source Code
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SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations (by sthalles)
Machine Learning Deep Learning representation-learning pytorch-implementation Pytorch torchvision unsupervised-learning contrastive-loss simclr
Source Code
sthalles.github.io
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pytorch-image-classification SimCLR
1 1
899 2,121
- -
2.6 0.0
over 2 years ago 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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pytorch-image-classification

Posts with mentions or reviews of pytorch-image-classification. We have used some of these posts to build our list of alternatives and similar projects.
  • neural networks project
    1 project | /r/learnmachinelearning | 29 Mar 2022
    https://github.com/bentrevett/pytorch-image-classification You can find plethora of options like the one above that I have sent, just google it, After mnist usually people go for image classification for differentiating between cats and dogs

SimCLR

Posts with mentions or reviews of SimCLR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-25.

What are some alternatives?

When comparing pytorch-image-classification and SimCLR you can also consider the following projects:

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

simclr - SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

PyTorch-Crash-Course - This is the repository for the PyTorch machine learning crash course.

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.

video-super-resolution-youtube

audax - A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

ast - Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

pytorch-image-classification vs gan-vae-pretrained-pytorch SimCLR vs simclr pytorch-image-classification vs PyTorch-Crash-Course SimCLR vs Awesome-VAEs pytorch-image-classification vs Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network SimCLR vs video-super-resolution-youtube SimCLR vs audax SimCLR vs CodeSearchNet SimCLR vs ast