296 Open source projects that are alternatives of or similar to triplet

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Oriented Response Networks, in CVPR 2017

Data Augmentation for Caffe

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

ID-discriminative Embedding (IDE) for Person Re-identification

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

Squeeze-and-Excitation Networks

MTCNN with Motion Detection, on Raspberry Pi with Love

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

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

php wrapper for opencv

Domain Guided Dropout for Person Re-identification

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

The NNEF Tools repository contains tools to generate and consume NNEF documents

Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

Auto-ReID and Other Person Re-Identification Projects

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

Caffe for Sparse Convolutional Neural Network

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Compact Generalized Non-local Network (NIPS 2018)

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Use caffe to train your own data in just one click

基于RabbitMQ简单实现验证码识别平台，训练网络模型智能识别图形验证码

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

A windows caffe implementation of YOLO detection network

A Caffe Re-Implementation of SENet

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Deformable Convolutional Networks on caffe

Deep learning software for colorizing black and white images with a few clicks.

Caffe for YOLOv2 & YOLO9000

Semantically consistent regularizer for zero-shot learning

code for py-R-FCN-multiGPU maintained by bupt-priv

Supervised Semantics-preserving Deep Hashing (TPAMI18)

pytorch 2 caffe

The Convolutional Neural Network(CNN) for Android

A caffe implementation of mobilenet's depthwise convolution layer.

Visualizer for neural network, deep learning, and machine learning models

Fine-grained classification via second order statistics in a compact end-to-end trainable model

My implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]

Real-World Anomaly Detection in Surveillance Videos

MTCNN Face Detection & Alignment

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Reimplement RetinaFace use C++ and TensorRT

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Convert image folder to lmdb, adapted from Efficient-PyTorch

Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.

A Big Awesome List CoreML Models.

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.