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Top 23 self-supervised-learning Open-Source Projects
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transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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PaddleSpeech
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
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InfluxDB
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pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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SfMLearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
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byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
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SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling" (by keyu-tian)
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solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
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SimMIM
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
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PaddleHelix
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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dipy
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
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Transformer-SSL
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
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Unsupervised-Semantic-Segmentation
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
PaddlePaddle/PaddleSpeech
Project mention: Batch-wise processing or image-by-image processing? (DINO V1) | /r/learnmachinelearning | 2023-11-15
Project mention: Show HN: Lightly – A Python library for self-supervised learning on images | news.ycombinator.com | 2023-11-16
All in One Computer Vision https://github.com/alibaba/EasyCV
Yup! This kind of reconstruction is known as multi-view reconstruction. Though the cameras don't need to have a movable mount, they're already on a car which moves! The car moves and gives them a new "perspective" at every frame. That's how some monocular systems already work. Here's an example of one such system: https://github.com/nianticlabs/manydepth
That said, I think what you're referring to is more extreme perspectives that shift in ways the car cannot drive and you are correct that this would aid in reconstruction. This is how NERF models do their 3D reconstruction (https://nerfies.github.io/).
Project mention: Where can I find more info on the various model files | /r/SFWdeepfakes | 2023-05-05Also been looking into CycleGANs to do "voice conversions." I found that the term "voice conversion" is a research-friendly way to say you are doing voice clones. I found this one really good and I've been quite impressed : https://github.com/bshall/soft-vc
self-supervised-learning related posts
- Show HN: OK-Robot: open, modular home robot framework for pick-and-drop anywhere
- Show HN: Lightly – A Python library for self-supervised learning on images
- Batch-wise processing or image-by-image processing? (DINO V1)
- Awesome-SSL4TS: NEW Data - star count:102.0
- GitHub - lightly-ai/lightly: A python library for self-supervised learning on images.
- A Python library for self-supervised learning on images
- Where can I find more info on the various model files
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A note from our sponsor - InfluxDB
www.influxdata.com | 29 Apr 2024
Index
What are some of the best open-source self-supervised-learning projects? This list will help you:
Project | Stars | |
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1 | transferlearning | 12,867 |
2 | PaddleSpeech | 10,161 |
3 | dino | 5,854 |
4 | pytorch-metric-learning | 5,764 |
5 | simclr | 3,927 |
6 | mmpretrain | 3,156 |
7 | mmselfsup | 3,084 |
8 | lightly | 2,750 |
9 | SfMLearner | 1,927 |
10 | byol-pytorch | 1,687 |
11 | EasyCV | 1,679 |
12 | SparK | 1,387 |
13 | solo-learn | 1,355 |
14 | Unsupervised-Classification | 1,306 |
15 | SimMIM | 860 |
16 | PaddleHelix | 789 |
17 | dipy | 669 |
18 | manydepth | 594 |
19 | Transformer-SSL | 589 |
20 | HIPT | 455 |
21 | VideoMAEv2 | 396 |
22 | Unsupervised-Semantic-Segmentation | 386 |
23 | soft-vc | 375 |
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