dearchris's Stars
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
HKUST-Aerial-Robotics/VINS-Mono
A Robust and Versatile Monocular Visual-Inertial State Estimator
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
SpyderXu/multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
ucbdrive/3d-vehicle-tracking
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
ZwwWayne/mmMOT
[ICCV2019] Robust Multi-Modality Multi-Object Tracking
tobiasfshr/MOTSFusion
MOTSFusion: Track to Reconstruct and Reconstruct to Track
swyphcosmo/ros-camera-lidar-calibration
beltransen/velo2cam_calibration
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
BassyKuo/PSPNET-cudnn5
The PSPNET supported cudnn v.5 based on https://github.com/hszhao/PSPNet
supervisely/supervisely
Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task
hszhao/ICNet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018
lisa-lab/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
TimoSaemann/caffe-enet
alexgkendall/caffe-segnet
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
TimoSaemann/caffe-segnet-cudnn5
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.
yassouali/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
dragen1860/Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
ahundt/robotics_setup
Setup Ubuntu 18.04, 16.04 and 14.04 with machine learning and robotics software plus user configuration. Includes ceres tensorflow ros caffe vrep eigen cudnn and cuda plus many more.
ChulhoonJang/avm_ss
https://link.springer.com/article/10.1007%2Fs00138-018-0986-z
SharifAmit/DilatedFCNSegmentation
[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation
TimoSaemann/ENet
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
NVIDIA/caffe
Caffe: a fast open framework for deep learning.