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

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

73.6% GhostNet 1.0x pre-trained model on ImageNet

Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

No description or website provided.

custom implementation alexnet with tensorflow

Dual CNN Models for Unsupervised Monocular Depth Estimation

Xception implemented with caffe

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Tools for generating mini-ImageNet dataset and processing batches

Theano implementation of Sequence-to-Sequence Autoencoder

Bottleneck Transformers for Visual Recognition

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

Deep learning image autoencoder that not depends on image resolution

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

EfficientNetV2 implementation using PyTorch

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…

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

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

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

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

This is the official implementation for the paper 'AutoEncoder by Forest'

A plug-in replacement for DataLoader to load ImageNet disk-sequentially in PyTorch.

PyTorch C++ inference with LibTorch

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Real time face landmarking using decision trees and NN autoencoders

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

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

Integrated Cell project implemented in pytorch

ImageNet model implemented using the Keras Functional API

🤖 Cozmo the Robot recognizes objects with TensorFlow

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

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

Scripts to work with LMDB + PyTorch for Imagenet training

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

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

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

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

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

Convolutional AutoEncoder application on MRI images

Implementing Searching for MobileNetV3 paper using Pytorch

Parametric Contrastive Learning (ICCV2021)

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

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

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

Tensorflow implementation of adversarial auto-encoder for MNIST

MoGA: Searching Beyond MobileNetV3

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

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

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

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

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.

Easy Reduced Basis method

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