Awesome-VAEs VS SimCLR

Compare Awesome-VAEs vs SimCLR and see what are their differences.

Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. (by matthewvowels1)
vae variational-autoencoder awesome-list disentanglement disentangled-representations representation-learning Deep Learning generative-model unsupervised-learning variational-inference variational-auto-encoder variational-bayes
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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Awesome-VAEs SimCLR
1 1
755 2,117
- -
0.0 0.0
almost 3 years ago about 2 months ago
Jupyter Notebook
- 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.

Awesome-VAEs

Posts with mentions or reviews of Awesome-VAEs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-29.
  • VAEs
    2 projects | /r/deeplearning | 29 Aug 2021
    List of VAE projects/works: https://github.com/matthewvowels1/Awesome-VAEs

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 Awesome-VAEs and SimCLR you can also consider the following projects:

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

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

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems.

pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

video-super-resolution-youtube

awesome-self-supervised-speech-representation-learning - A comprehensive list of awesome self-supervised speech representation learning papers.

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

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

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

stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning

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

Awesome-VAEs vs PyTorch-VAE SimCLR vs simclr Awesome-VAEs vs awesome-datascience SimCLR vs pytorch-image-classification Awesome-VAEs vs benchmark_VAE SimCLR vs video-super-resolution-youtube Awesome-VAEs vs awesome-self-supervised-speech-representation-learning SimCLR vs audax Awesome-VAEs vs disentangling-vae SimCLR vs CodeSearchNet Awesome-VAEs vs stanford-cs-229-machine-learning SimCLR vs ast