443 Open source projects that are alternatives of or similar to Regnet

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

ECG classification programs based on ML/DL methods

Hiding Images within other images using Deep Learning

Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.

A CoreML model which classifies images of food

CNN image classifier implemented in Keras Notebook 🖼️.

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

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

A curated list of Deep Learning resources sorted by reputation

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Lung fields segmentation on CXR images using convolutional neural networks.

Interactive convnet features visualization for Keras

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

PyTorch implementation of LeNet-5 with live visualization

MR-CNNs for Large-Scale Scene Recognition

ConText v4: Neural networks for text categorization

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Repository for Region Ensemble Network based Hand Pose Estimation

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Identifying people from small audio fragments

Generate slow-motion videos by interpolating more frames

Handwritten Digit Recognition using Machine Learning and Deep Learning

Be Driven 🚘

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

Weakly Supervised Deep Detection Networks (CVPR 2016)

convolutional lstm implementation in pytorch

SHAInet - a pure Crystal machine learning library

easy convolution neural network

Data augmentation using synthetic data for time series classification with deep residual networks

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

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

Reproduce CheXNet

Text to Speech with PyTorch (English and Mongolian)

Quantization of Convolutional Neural networks.

Object classification with CIFAR-10 using transfer learning

Various CNN models for CIFAR10 with Chainer

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

Crack detection for an autonomous UAV

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

lock mechanism with face recognition and liveness detection

A Keras Implementation of "A Neural Algorithm of Artistic Style"

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

The Pytorch Implementation of L-Softmax

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Real time face alignment

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)