SimCLR VS Awesome-VAEs

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

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

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 Awesome-VAEs
1 1
2,131 755
- -
0.0 0.0
2 months ago almost 3 years 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.

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.

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

What are some alternatives?

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

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

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

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

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

video-super-resolution-youtube

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

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

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

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

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

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

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

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