Template C project

A windows caffe implementation of YOLO detection network

A caffe implementation of MobileNet-YOLO detection network

Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification

YOLOv3: Training and inference in PyTorch

A real-time object detection framework of Yolov3 based on caffe

A simple yet effective loss function for face verification.

Deployment of TensorFlow models into production with TensorFlow Serving, Docker, Kubernetes and Microsoft Azure

caffe pretrained models and prototxt

TensorFlow Tutorials

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

Notebook for my medium article about how to use Dataset API in TensorFlow

Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU support + Transfer Learning support

深度学习论文翻译，包括分类论文，检测论文等

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones

Kernelized Correlation Filter tracker

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

A lightweight class for saving the best Tensorflow checkpoints.

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜

Hourglass implementation

Discuss something about alignment,redepupliction_id,concat train,feature norm,hard example mining & wrong example remove

Convert PyTorch model to Caffemodel

Deep neural network for object detection and semantic segmentation in real-time. Official code for the paper "BlitzNet: A Real-Time Deep Network for Scene Understanding"

Models built with TensorFlow

Convert coco dataset to tfrecord for the tensorflow detection API.

YOLO v2 Tensorflow implementation from scratch

Reproduce MTCNN using Tensorflow