bei91

Pinned Repositories

Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Language:Python00
caffe
Caffe: a fast open framework for deep learning.
Language:C++00
caffe-posenet
Implementation of PoseNet
Language:C++00
cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
Language:C++00
centernet-onnx-tensorrt
centernet to onnx and to tensorrt
Language:Python5 2 24
CornerNet
Language:Python00
cvpr2019
cvpr2019 papers，极市团队整理
0 1 00
DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
Language:Python0 1 00
darknet_MobilenetV2
Language:C63
yolov5-onnx-tensorrt
How to run yolov5 model using TensorRT.
Language:Python48 2 612

bei91's Repositories

bei91/yolov5-onnx-tensorrt
How to run yolov5 model using TensorRT.
Language:Python48 2 612
bei91/darknet_MobilenetV2
Language:C63
bei91/centernet-onnx-tensorrt
centernet to onnx and to tensorrt
Language:Python5 2 24
bei91/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Language:Python00
bei91/cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
Language:C++00
bei91/CornerNet
Language:Python00
bei91/cvpr2019
cvpr2019 papers，极市团队整理
0 1 00
bei91/DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
Language:Python0 1 00
bei91/darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection
Language:C
bei91/darknet-1
darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析
Language:C
bei91/DCNv2
Deformable Convolutional Networks v2 with Pytorch
Language:Cuda
bei91/deep_learning_object_detection
A paper list of object detection using deep learning.
bei91/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，近30万字。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
Language:TeX
bei91/gluon-cv
Gluon CV Toolkit
Language:Python
bei91/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
Language:Python
bei91/KL-Loss
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
Language:Python
bei91/lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model
Language:Python
bei91/lcm
Lightweight Communications and Marshalling
Language:Java
bei91/learnopencv
Learn OpenCV : C++ and Python Examples
Language:Jupyter Notebook
bei91/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Language:Python
bei91/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Language:Python
bei91/MobileNet-YOLO
A caffe implementation of MobileNet-YOLO detection network
Language:C++
bei91/Real-Time-Semantic-Segmentation
lightweight and efficient cnn for semantic segmentation
Language:OpenEdge ABL
bei91/RefineDet
Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018
Language:C++
bei91/semantic-segmentation
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Language:Python
bei91/SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
Language:Jupyter Notebook
bei91/TorchSeg
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
Language:Python
bei91/votenet
Deep Hough Voting for 3D Object Detection in Point Clouds
Language:Python
bei91/YAD2K
YAD2K: Yet Another Darknet 2 Keras
Language:Python
bei91/YOLOv3
Keras implementation of yolo v3 object detection.
Language:Python