Unofficial PyTorch implementation of SimCLR by Google Brain

Last update: Oct 13, 2021

Related tags

Deep Learning SimCLR-pytorch

Overview

SimCLR-pytorch

Unofficial PyTorch implementation of SimCLR by Google Brain [abs, pdf]

Installation

You can install the package via pip:

pip install simclr_pytorch

Usage

You can use the SimCLR model like so:

from simclr_pytorch import SimCLR

train_loader = ...
bigcnn = ResNet50(...)
simclr = SimCLR(
            image_size=(32, 32),
            bigcnn=bigcnn
        )

trained_bigcnn = simclr.fit(train_loader)

Contributions

If you have any suggestions or hiccups, feel free to raise a PR or Issue. All contributions welcome!

License

MIT

Owner

Rishabh Anand

CS undergrad + ML Research @ NUS • Open-source Jedi • Writer

GitHub Repository

A medical imaging framework for Pytorch

Welcome to MedicalTorch MedicalTorch is an open-source framework for PyTorch, implementing an extensive set of loaders, pre-processors and datasets fo

799 Jan 03, 2023

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

The goal of Project CodeNet is to provide the AI-for-Code research community with a large scale, diverse, and high quality curated dataset to drive innovation in AI techniques.

1.2k Jan 04, 2023

PySOT - SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

PySOT is a software system designed by SenseTime Video Intelligence Research team. It implements state-of-the-art single object tracking algorit

4.1k Dec 29, 2022

Liecasadi - liecasadi implements Lie groups operation written in CasADi

liecasadi liecasadi implements Lie groups operation written in CasADi, mainly di

14 Nov 05, 2022

Python implementation of the multistate Bennett acceptance ratio (MBAR)

pymbar Python implementation of the multistate Bennett acceptance ratio (MBAR) method for estimating expectations and free energy differences from equ

169 Dec 02, 2022

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation: Work In Progress, Results can't be replicated yet with the m

196 Aug 30, 2022

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Aboleth A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation [1] with stochastic gradient variational Bayes

127 Dec 12, 2022

Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

70 Jan 03, 2023

Collection of TensorFlow2 implementations of Generative Adversarial Network varieties presented in research papers.

TensorFlow2-GAN Collection of tf2.0 implementations of Generative Adversarial Network varieties presented in research papers. Model architectures will

41 Apr 28, 2022

COCO Style Dataset Generator GUI

A simple GUI-based COCO-style JSON Polygon masks' annotation tool to facilitate quick and efficient crowd-sourced generation of annotation masks and bounding boxes. Optionally, one could choose to us

142 Dec 09, 2022

Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models Benchmark and Efficient Evaluation

Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models Benchmark and Efficient Evaluation This reposi

1 Aug 21, 2022