The ApiWorkflow class provides a lot of usability. You can e.g. create datasets, upload samples, upload embeddings, upload custom metadata, delete datasets, and more. But, currently, the documentation is rather thin. We should add a simple example on how to use these functions for all of them.

Add example of using Barlow Twins

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Add multi-modal loss

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lucidrains / byol-pytorch

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Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

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Updated Jul 15, 2021
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divelab / DIG

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A library for graph deep learning research

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wvangansbeke / Unsupervised-Classification

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

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s3prl / s3prl

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Self-Supervised Speech Pre-training and Representation Learning Toolkit.

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zhirongw / lemniscate.pytorch

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Unsupervised Feature Learning via Non-parametric Instance Discrimination

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Updated Mar 25, 2021
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jackroos / VL-BERT

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Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

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Updated Sep 23, 2020
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mkocabas / EpipolarPose

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Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

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Updated Jun 26, 2019
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fangchangma / self-supervised-depth-completion

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ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

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Updated Apr 24, 2021
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YyzHarry / imbalanced-semi-self

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[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

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Updated Apr 3, 2021
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MrGiovanni / ModelsGenesis

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Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

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Updated Jul 30, 2021
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RobotLocomotion / pytorch-dense-correspondence

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Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

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Updated Oct 4, 2019
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dipy / dipy

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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.