296 Open source projects that are alternatives of or similar to imagenet-autoencoder

Real time face landmarking using decision trees and NN autoencoders

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Keras implementation of Mobile Networks

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

Collection of computer vision models, ready to be included in a JVM project

Integrated Cell project implemented in pytorch

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

ImageNet model implemented using the Keras Functional API

A Caffe Re-Implementation of SENet

🤖 Cozmo the Robot recognizes objects with TensorFlow

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

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

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Suravi is a small distribution of Ravi/Lua 5.3 with batteries such as cjson, lpeglabel, luasocket, penlight, torch7, luv, luaossl

train resnet on imagenet from scratch with caffe

Scripts to work with LMDB + PyTorch for Imagenet training

TensorFlow implementation of PNASNet-5 on ImageNet

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

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

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

Caffe Implementation of Google's MobileNets (v1 and v2)

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

Adaptive Real-Time Object Detection System with HOG and CNN Features

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"

Convolutional AutoEncoder application on MRI images

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Implementing Searching for MobileNetV3 paper using Pytorch

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Parametric Contrastive Learning (ICCV2021)

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

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

Porting pytorch dcgan on FloydHub

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

🍊 🎑 Orange3 add-on for dealing with image related tasks

Tensorflow implementation of adversarial auto-encoder for MNIST

Generate mini-ImageNet with ImageNet for fewshot learning

MoGA: Searching Beyond MobileNetV3

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

PyTorch to Keras model convertor

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Train the HRNet model on ImageNet

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Training Low-bits DNNs with Stochastic Quantization

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

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

PyTorch implementation of EfficientNetV2 family

Tensorflow 2.0 implementation of Adversarial Autoencoders

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)