CEBRA
solo-learn
CEBRA | solo-learn | |
---|---|---|
5 | 3 | |
844 | 1,358 | |
2.4% | - | |
7.7 | 5.9 | |
about 1 month ago | 9 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
CEBRA
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What are the best AI tools you've ACTUALLY used?
Cebra AI: An AI-powered customer service platform.
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GPT-4 Week 7. Government oversight, Strikes, Education, Layoffs & Big tech are moving - Nofil's Weekly Breakdown
Cebra - Researchers were able to reconstruct what a mouse is looking at by scanning its brain activity. The details of this are wild, they even genetically engineered mice to make it easier to view the neurons firing [Link]
- Learnable latent embeddings for joint behavioural and neural analysis
solo-learn
- [D]Use SimCLR as pretraining for image segmentation
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[D] State-of-the-Art for Self-Supervised (Pre-)Training of CNN architectures (e.g. ResNet)?
Hello, I lost a bit of touch to the current SOTA of self-supervised pretraining of CNNs, in particular ResNet. I found this repository https://github.com/vturrisi/solo-learn that has many methods implemented but I'm not really sure where to start. My goal is to pretrain a ResNet backbone on a decently large amount of image data that comes from a certain domain and after that fine-tune it for different downstream tasks (classification, segmentation, object detection) on a subset of the data I have labels for.
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[P] Solo-learn 1.0.3: new methods, support for transformer architectures, better evaluation, improved docs, and additional results.
Hi Reddit, the solo-learn team is back again with interesting news about its SSL library.
What are some alternatives?
chatGPTBox - Integrating ChatGPT into your browser deeply, everything you need is here
dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
lightning-transformers - Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning
babyagi-ui - BabyAGI UI is designed to make it easier to run and develop with babyagi in a web app, like a ChatGPT.
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.
quaterion - Blazing fast framework for fine-tuning similarity learning models
Revisiting-Contrastive-SSL - Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Unsupervised-Semantic-Segmentation - Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
lightly - A python library for self-supervised learning on images.
vectorrvnn - Data Driven method for hierarchical grouping of paths in Vector Graphics.