687 Open source projects that are alternatives of or similar to G-SimCLR

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

Official PyTorch implementation of Contrastive Learning of Musical Representations

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

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

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

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

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

[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.

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

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

FedGroup, A Clustered Federated Learning framework based on Tensorflow

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

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

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

Graph convolution with tf.keras

Text Classification in Turkish Texts with Bert

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

official implemntation for "Contrastive Learning with Stronger Augmentations"

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Generalized Deep Metric Learning.

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

List of Publications in Graph Contrastive Learning

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

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

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

DBSCAN Clustering Algorithm C# Implementation

An experimental cluster brings Prometheus and OpenStack together

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

Farm Animal Tracking (FAT)

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

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

Tensorflow 2.0 implementation of Deep Autoregressive Models

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

A polylinear timeline with clustering, centred on interactions. — Doc and demo https://octree-gva.github.io/Zeitline/

BTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Fast and memory-efficient clustering + coreset construction, including fast distance kernels for Bregman and f-divergences.

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

A JavaScript library to allocate and optimize financial portfolios.

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

🌈 Spectral Normalization implemented as Tensorflow 2

Natural Language Processing for Lithuanian language

Tensorflow implementation of the Restricted Boltzmann Machine

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

GitHub repo for my Tensorflow World hackathon submission

[Lumiata COVID-19 Winner] COVID Immunity testing results registered to the Blockchain for healthcare safety.

Recognize Digits using Deep Neural Networks in Google Chrome live!

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

etcd-based peer discovery backend for RabbitMQ 3.7.0+

WIP Tensorflow implementation of https://github.com/mozilla/TTS

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2