540 Open source projects that are alternatives of or similar to TCE

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

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

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

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

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 SimCLR: supports multi-GPU training and closely reproduces results

[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 the InfoNCE loss for self-supervised learning.

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

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

List of Publications in Graph Contrastive Learning

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

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

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Official implementation for "Image Quality Assessment using Contrastive Learning"

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

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

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

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

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

Whitening for Self-Supervised Representation Learning | Official repository

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

Official PyTorch implementation of Contrastive Learning of Musical Representations

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

Graph convolutional neural network for multirelational link prediction

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

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

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

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.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

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

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

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

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

Using efficientnet to provide embeddings for retrieval

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

official implemntation for "Contrastive Learning with Stronger Augmentations"

Two-stream CNNs for video action recognition implemented in Keras

Tutorials for Machine Learning on Graphs

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Awesome Graph Self-Supervised Learning

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Code for Supervised Word Mover's Distance (SWMD)

Implementation of Barlow Twins paper

Subgraph Neural Networks (NeurIPS 2020)

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Named-Entity Recognition in Persian Language

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.