contrastive-reconstruction VS MAGIST-Algorithm

Compare contrastive-reconstruction vs MAGIST-Algorithm and see what are their differences.

contrastive-reconstruction

Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss. (by bayer-science-for-a-better-life)
Keras Tensorflow2 self-supervised-learning simclr conrec attention-pooling finegrained represenation-learning toy-dataset
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MAGIST-Algorithm

Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta (by DeepShift-Labs)
Artificial intelligence artificial-neural-networks semi-supervised-learning unsupervised-machine-learning unsupervised-learning kmeans-clustering Database Data Science scrapping scrapping-python Keras Tensorflow AI Deep Learning Machine Learning NLP Python3 self-supervised-learning Collaboration Python
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contrastive-reconstruction MAGIST-Algorithm
1 1
13 5
- -
10.0 3.8
almost 3 years ago over 1 year ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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contrastive-reconstruction

Posts with mentions or reviews of contrastive-reconstruction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-15.

MAGIST-Algorithm

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

What are some alternatives?

When comparing contrastive-reconstruction and MAGIST-Algorithm you can also consider the following projects:

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

python - 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming.

solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

vissl - VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

keras-hub - Pretrained model hub for Keras 3

self_supervised - Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

Finch - 🐤The next evolution of evolution.

mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark

neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

ADBench - Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

IntroDLPython - This repository is updated by a number of introductory projects to deep learning with Python.

contrastive-reconstruction vs Unsupervised-Classification MAGIST-Algorithm vs python contrastive-reconstruction vs solo-learn MAGIST-Algorithm vs 100DaysOfML contrastive-reconstruction vs vissl MAGIST-Algorithm vs keras-hub contrastive-reconstruction vs self_supervised MAGIST-Algorithm vs Finch contrastive-reconstruction vs mmselfsup MAGIST-Algorithm vs neuro-symbolic-sudoku-solver MAGIST-Algorithm vs ADBench MAGIST-Algorithm vs IntroDLPython
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