799 Open source projects that are alternatives of or similar to Deepco3

Bayes by Backprop implemented in a CNN in PyTorch

A large-scale dataset of both raw MRI measurements and clinical MRI images

CNN 1D vs 2D audio classification

Network Slimming (Pytorch) (ICCV 2017)

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Code for FCHD - A fast and accurate head detector

code for unsupervised learning Neural Hidden Markov Models paper

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Neural network inference the Unix way

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

🚀 😏 Near Real Time CPU Face detection using deep learning

PyTorch tutorial for learners

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

Digit recognition with Convolutional Neural Networks in WebGL

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

CVPR2014-Convolutional neural networks for no-reference image quality assessment

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

Efficient Learning of Augmentation Policy Schedules

Convolutional Neural Networks for Cardiac Segmentation

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

Generating proportional fonts with deep learning

PyTorch reimplementation of Interactive Deep Colorization

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

TensorFlow implementation of Deep Graph Infomax

Building Convolutional Neural Networks From Scratch using NumPy

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Composable GAN framework with api and user interface

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

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

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Visualisations for Convolutional Neural Networks in Pytorch

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Super Resolution of picture images using deep learning

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

A photo OCR project aims to output DMS messages contained in sign structure images.

YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Interactive convnet features visualization for Keras

Text to Speech with PyTorch (English and Mongolian)