Best_AI_paper_2020 VS Awesome-Learning-with-Label-Noise

Compare Best_AI_paper_2020 vs Awesome-Learning-with-Label-Noise and see what are their differences.

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Best_AI_paper_2020 Awesome-Learning-with-Label-Noise
29 1
2,221 2,528
- -
0.0 2.0
about 2 years ago about 1 month ago
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-Learning-with-Label-Noise

Posts with mentions or reviews of Awesome-Learning-with-Label-Noise. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

What are some alternatives?

When comparing Best_AI_paper_2020 and Awesome-Learning-with-Label-Noise you can also consider the following projects:

mlreef - The collaboration workspace for Machine Learning

the-incredible-pytorch - The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

learnopencv - Learn OpenCV : C++ and Python Examples

techniques - Techniques for deep learning with satellite & aerial imagery

awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Machine-Learning-Tutorials - machine learning and deep learning tutorials, articles and other resources

aws-mlu-explain - Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/

Awesome-System-for-Machine-Learning - A curated list of research in machine learning systems (MLSys). Paper notes are also provided.

MetaSpore - A unified end-to-end machine intelligence platform

awesome-open-data-centric-ai - Curated list of open source tooling for data-centric AI on unstructured data.