Self-Supervised Learning

Related tags

Deep Learningmaemocoself-supervised-learningbyolsimclrbeit
Overview

Self-Supervised Learning

Features

self_supervised offers features like

  • modular framework
  • support for multi-gpu training using PyTorch Lightning
  • easy to use and written in a PyTorch like style
  • supports custom backbone models for self-supervised pre-training

Supported Models

Supported Loss Function

Benchmarks

Currently implemented models and their accuracy on cifar10 and imagenette.

ImageNette

Model Epochs Batch Size Test Accuracy
MoCo 800 256 0.827
SimCLR 800 256 0.847
SimSiam 800 256 0.827
BarlowTwins 800 256 0.801
BYOL 800 256 0.851

Cifar10

Model Epochs Batch Size Test Accuracy
MoCo 200 128 0.83
SimCLR 200 128 0.78
SimSiam 200 128 0.73
BarlowTwins 200 128 0.84
BYOL 200 128 0.85
MoCo 200 512 0.85
SimCLR 200 512 0.83
SimSiam 200 512 0.81
BarlowTwins 200 512 0.78
BYOL 200 512 0.84
MoCo 800 128 0.89
SimCLR 800 128 0.87
SimSiam 800 128 0.80
MoCo 800 512 0.90
SimCLR 800 512 0.89
SimSiam 800 512 0.91

Tutorials

Want to jump to the tutorials and see lightly in action?

Further Reading

Self-supervised Learning:

Owner
Robin
Machine learning Statistics
Robin
GitHub Repository
A pytorch &keras implementation and demo of Fastformer.

Fastformer Notes from the authors Pytorch/Keras implementation of Fastformer. The keras version only includes the core fastformer attention part. The

153 Dec 28, 2022
Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition

Integrated Semantic and Phonetic Post-correction for Chinese Speech Recognition | paper | dataset | pretrained detection model | Authors: Yi-Chang Che

Yi-Chang Chen 1 Aug 23, 2022
Cobalt Strike teamserver detection.

Cobalt-Strike-det Cobalt Strike teamserver detection. usage: cobaltstrike_verify.py [-l TARGETS] [-t THREADS] optional arguments: -h, --help show this

TimWhite 17 Sep 27, 2022
DyNet: The Dynamic Neural Network Toolkit

The Dynamic Neural Network Toolkit General Installation C++ Python Getting Started Citing Releases and Contributing General DyNet is a neural network

Chris Dyer's lab @ LTI/CMU 3.3k Jan 06, 2023
Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

T-Zero This repository serves primarily as codebase and instructions for training, evaluation and inference of T0. T0 is the model developed in Multit

BigScience Workshop 253 Dec 27, 2022
OpenMMLab Model Deployment Toolset

Introduction English | 简体中文 MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Major features F

OpenMMLab 1.5k Dec 30, 2022
Voice of Pajlada with model and weights.

Pajlada TTS Stripped down version of ForwardTacotron (https://github.com/as-ideas/ForwardTacotron) with pretrained weights for Pajlada's (https://gith

6 Sep 03, 2021
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

730 Jan 09, 2023
Cmsc11 arcade - Final Project for CMSC11

cmsc11_arcade Final Project for CMSC11 Developers: Limson, Mark Vincent Peñafiel

Gregory 1 Jan 18, 2022
Codebase for the self-supervised goal reaching benchmark introduced in the LEXA paper

LEXA Benchmark Codebase for the self-supervised goal reaching benchmark introduced in the LEXA paper (Discovering and Achieving Goals via World Models

Oleg Rybkin 36 Dec 22, 2022
Hepsiburada - Hepsiburada Urun Bilgisi Cekme

Hepsiburada Urun Bilgisi Cekme from hepsiburada import Marka nike = Marka("nike"

Ilker Manap 8 Oct 26, 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

Chodera lab // Memorial Sloan Kettering Cancer Center 169 Dec 02, 2022
A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"

LASAFT-Net-v2 Listen, Attend and Separate by Attentively aggregating Frequency Transformation Woosung Choi, Yeong-Seok Jeong, Jinsung Kim, Jaehwa Chun

Woosung Choi 29 Jun 04, 2022
IhoneyBakFileScan Modify - 批量网站备份文件扫描器，增加文件规则，优化内存占用

ihoneyBakFileScan_Modify 批量网站备份文件泄露扫描工具 2022.2.8 添加、修改内容 增加备份文件fuzz规则 修改备份文件大小判断

VMsec 220 Jan 05, 2023
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data By Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, W

Taihong Xiao 141 Apr 16, 2021
Label-Free Model Evaluation with Semi-Structured Dataset Representations

Label-Free Model Evaluation with Semi-Structured Dataset Representations Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch

8 Oct 06, 2022
This Repo is the official CUDA implementation of ICCV 2019 Oral paper for CARAFE: Content-Aware ReAssembly of FEatures

Introduction This Repo is the official CUDA implementation of ICCV 2019 Oral paper for CARAFE: Content-Aware ReAssembly of FEatures. @inproceedings{Wa

Jiaqi Wang 42 Jan 07, 2023
Adversarially Learned Inference

Adversarially Learned Inference Code for the Adversarially Learned Inference paper. Compiling the paper locally From the repo's root directory, $ cd p

Mohamed Ishmael Belghazi 308 Sep 24, 2022
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization'

pytorch-AdaIN This is an unofficial pytorch implementation of a paper, Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Hua

Naoto Inoue 873 Jan 06, 2023
Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)

Self-Tuning for Data-Efficient Deep Learning This repository contains the implementation code for paper: Self-Tuning for Data-Efficient Deep Learning

THUML @ Tsinghua University 101 Dec 11, 2022