712 Open source projects that are alternatives of or similar to Mobilenetv2 Pytorch

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

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

A neural network that transforms a design mock-up into a static website.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Deep Learning--深度学习

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

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.

A collection of computer vision pre-trained models.

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

A Tensorflow implementation of QANet for machine reading comprehension

Hierarchical Attention Networks for document classification

a python implementation of MC-CNN

Almost any Image classification problem using pytorch

a lightweight js runtime for IOT（一个面向物联网的JS运行时）

Sandbox for training deep learning networks

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Image classification: efficientnet/resnest/seresnext/.....

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

MTCNN with Motion Detection, on Raspberry Pi with Love

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

A deep learning based gaze estimation framework implemented with PyTorch

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

OpenCV 3 & Keras implementation of face recognition for specific people.

AutoML frAmework for Neural Networks

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

Solution to Kaggle - Web Traffic Time Series Forecasting

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

CNN CBIR benchmark (ongoing)

PyTorch extensions for fast R&D prototyping and Kaggle farming

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.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Implementation of Neural Image Captioning model using Keras with Theano backend

Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:[email protected]

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

FPGA Accelerator for CNN using Vivado HLS

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

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

LCNN: End-to-End Wireframe Parsing

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Collection of popular and reproducible image denoising works.

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

采用CNN将高分辨率灰度图像和低分辨率彩色图像合成为高分辨率彩色图像的图像融合算法

Symbolic Music Genre Transfer with CycleGAN

PCN based on ncnn framework.

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

An example of using Tensorflow with Unity for image classification and object detection.

Object Recognition using TensorFlow and Java

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Bridging the gap Between Stability and Scalability in Neural Architecture Search

Try to use tf.estimator and tf.data together to train a cnn model.

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

A small convolution neural network deep learning framework implemented in c++.