wangb's repositories
caffe
Caffe: a fast open framework for deep learning.
Deep-Flow-Guided-Video-Inpainting
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
deep_sort_pytorch
MOT tracking using deepsort yolo3 with pytorch
Deformable-ConvNets-v1-v2-caffe
Deformable ConvNet V1 and V2 on caffe
DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms
Object_Detection
Summary of object detection（modules&&improvements）
Pelee
Pelee: A Real-Time Object Detection System on Mobile Devices
pixel-anchor-link-and-text-detector-experience
结合实际项目经验谈文本检测，顺便展示一下我们只用合成数据训练的通用印刷体文本检测算法pixel-anchor-link
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST
PyTorch_YOLOv3
Implementation of YOLOv3 in PyTorch
reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)
ResNet-18-Caffemodel-on-ImageNet
ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%
simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
SSD_Pytorch
support different SSDs and different scale test, support refineDet.
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Vehicle-Car-detection-and-multilabel-classification
使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize
vehicle_attribution
Train face attribute include gender and age
YOLOv3_PyTorch
Full implementation of YOLOv3 in PyTorch