344 Open source projects that are alternatives of or similar to CLSA

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

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S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Generalized Deep Metric Learning.

PyTorch implementation of the InfoNCE loss for self-supervised learning.

A comprehensive list of awesome contrastive self-supervised learning papers.

List of Publications in Graph Contrastive Learning

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Neural Relation Understanding: neural cardinality estimators for tabular data

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Awesome Graph Self-Supervised Learning

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Official PyTorch implementation of Contrastive Learning of Musical Representations

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

A curated list of awesome graph & self-supervised-learning-based recommendation.

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

How to do Unsupervised Clustering with Keras

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

An unsupervised Chinese word segmentation tool.

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Implementation of VLAE

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Paddle Distributed Training Extended. 飞桨分布式训练扩展包

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

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Transformer for Graph Classification (Pytorch and Tensorflow)

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

A stable algorithm for GAN training

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[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

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Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

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