495 Open source projects that are alternatives of or similar to Person Reid Triplet Loss

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

[REPO] Music Genre classification on GTZAN dataset using CNNs

Simple Convolutional Neural Network Library

pytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"

Object localization in images using simple CNNs and Keras

The deeplearning algorithms implemented by tensorflow

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"

The Places365-CNNs for Scene Classification

TensorFlow code for finetuning I3D model on UCF101.

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

A End to End CNN Model which predicts the steering wheel angle based on the video/image

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

DLTK Model Zoo

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

🤖️image regression (base on convnetjs)

convolutional lstm implementation in pytorch

Datasets, tools, and benchmarks for representation learning of code.

This code implements a simple CNN model for document classification with tensorflow.

reference tensorflow code for named entity tagging

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Wrapper of DELF Tensorflow Model

A C++11 multithread library for image retrieval

cnn pruning with tensorflow.

基于CNN的验证码整体识别

PyTorch tutorial for learners

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

MobileNet-v2 experimental network description for caffe

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

PyTorch implementation of SIFT descriptor

Deep learning applied to georeferenced datasets

Pytorch implementation of Deep Learning of Binary Hash Codes for Fast Image Retrieval, CVPRW 2015

CNN, LSTM, NBOW, fasttext 中文文本分类

PyTorch implementation of LeNet-5 with live visualization

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

基于深度学习识别12306验证码

A Unified Convolutional Neural Network Approach of Gesture Recognition and Fingertip Detection.

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Compute CNN receptive field size in pytorch in one line

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

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

PyTorch tutorials A to Z

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

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.

Learning Deep Features for Discriminative Localization (2016)

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

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Collections of model quantization algorithms

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Attention-guided CNN for image denoising(Neural Networks,2020)

Spatial Pyramid Pooling on top of AlexNet using tensorflow. ***New updates for SPPnet in Pytorch**

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