313 Open source projects that are alternatives of or similar to mae-scalable-vision-learners

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.

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

2019北京大学软件与微电子学院曹健老师的《人工智能实践》作业，有完整的注释,欢迎提出issue以及request

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

Implementation of Barlow Twins paper

Real time face landmarking using decision trees and NN autoencoders

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

基于Tensorflow2开发的优秀扩展包及项目

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

Dual CNN Models for Unsupervised Monocular Depth Estimation

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

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

Exploring Simple Siamese Representation Learning

Convolutional AutoEncoder application on MRI images

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

Improved TabNet for TensorFlow

supervised and semi-supervised image classification with self-supervision (Keras)

Variants of Vision Transformer and its downstream tasks

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

Working golang + tensorflow

SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

Tensorflow implementation of adversarial auto-encoder for MNIST

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

Generative Adversarial Networks in TensorFlow 2.0

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

Autoencoder trained on ImageNet Using Torch 7

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

Official PyTorch implementation of Contrastive Learning of Musical Representations

Deep learning image autoencoder that not depends on image resolution

🐳 GAN implemented as Tensorflow 2.X

Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)

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

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

This project presents a simple framework to retrieve images similar to a query image.

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Hands-on in-person workshop for Deep Learning with TensorFlow

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

TF2 implementation of PointNet for segmenting point clouds

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

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.

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

熊猫识别不定长验证码,基于tensorflow2.2(tensorflow2.3也可以运行)轻松就能练出不错的模型

Awesome Graph Self-Supervised Learning

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole…

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.