Davidchen's repositories
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
DeepLabv3_MobileNetv2_PyTorch
A PyTorch Implementation of MobileNetv2+DeepLabv3
SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
CarND-Path-Planning-Project
Self-Driving Car Engineer Program: Path Planning Project
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
darknet
Convolutional Neural Networks
FastMaskRCNN
Mask RCNN in TensorFlow
gym
A toolkit for developing and comparing reinforcement learning algorithms.
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ORB-SLAM2_RGBD_DENSE_MAP
This repository is modified from Xiang Gao's "ORB_SLAM2_modified".It is added a dense loopclosing map model.
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
Realtime_Multi-Person_Pose_Estimation
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
roboschool
Open-source software for robot simulation, integrated with OpenAI Gym.
Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Tensorflow_project
for project of Tensorflow
tensorlayer
TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.
Traffic_Sign_Recognition_Efficient_CNNs
A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
ubuntu16.04
DO NOT MESS UP !!!
udacity-path-planning
My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation
yolo-tensorflow
基于tensorflow开发的YOLO和YOLO9000,提供训练以及测试功能,以VOC2012数据集作为训练/测试集(5000/5000),进行性能检测,同时对比识别性能以及效率