303 Open source projects that are alternatives of or similar to simclr-pytorch

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

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Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

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

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

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

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

Generalized Deep Metric Learning.

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Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

official implemntation for "Contrastive Learning with Stronger Augmentations"

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Awesome Graph Self-Supervised Learning

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

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Whitening for Self-Supervised Representation Learning | Official repository

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.

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

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

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

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

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

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

Official code for "Mean Shift for Self-Supervised Learning"

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

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

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

Official PyTorch implementation of Contrastive Learning of Musical Representations

List of Publications in Graph Contrastive Learning

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

Profiling and Deanonymizing Ethereum Users

Implementation of MelNet in PyTorch to generate high-fidelity audio samples

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

code for AAAI21 paper "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion“

A model for learning distributed representations of MLB players.

experimenting with differentiable models of morphogenesis 🔬 🦠

Official repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Photometric optimization code for creating the FLAME texture space and other applications

Experiments with supervised contrastive learning methods with different loss functions

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

A Fast Knowledge Distillation Framework for Visual Recognition

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

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Metrics for model evaluation in pytorch

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Poincaré Embedding

Keyphrase Generation

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.