Pinned Repositories
autokeras
Accessible AutoML for deep learning.
awesome-lane-detection
A paper list of lane detection.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
bgslibrary
A Background Subtraction Library
chineseocr
yolo3+ocr
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
darknet_20210304
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deep-learning-models
Keras code and weights files for popular deep learning models.
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程
JioNLP
中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package
GradientDescentEX's Repositories
GradientDescentEX/autokeras
Accessible AutoML for deep learning.
GradientDescentEX/bgslibrary
A Background Subtraction Library
GradientDescentEX/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
GradientDescentEX/deep-learning-models
Keras code and weights files for popular deep learning models.
GradientDescentEX/EasyPR
An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
GradientDescentEX/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
GradientDescentEX/Keras-FCN
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）
GradientDescentEX/Keras-VGG16-places365
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
GradientDescentEX/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
GradientDescentEX/KittiSeg
A Kitti Road Segmentation model implemented in tensorflow.
GradientDescentEX/lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
GradientDescentEX/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
GradientDescentEX/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
GradientDescentEX/MultiNet
Real-time Joint Semantic Reasoning for Autonomous Driving
GradientDescentEX/ObjectDetection-OneStageDet
GradientDescentEX/Pedestrian_Detection
通过HOG+SVM训练进行行人检测，行人数据库使用INRIAPerson，程序基于OpenCV实现
GradientDescentEX/PSPNet-Keras-tensorflow
TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet
GradientDescentEX/Python
All Algorithms implemented in Python
GradientDescentEX/Python-100-Days
Python - 100天从新手到大师
GradientDescentEX/R-FCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
GradientDescentEX/Stronger-yolo
Improve yolo with latest paper
GradientDescentEX/tencent-ml-images
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
GradientDescentEX/tusimple-benchmark
TuSimple Benchmark
GradientDescentEX/yolo_tensorflow
Tensorflow implementation of YOLO, including training and test phase.
GradientDescentEX/YOLO_tensorflow-1
tensorflow implementation of 'YOLO : Real-Time Object Detection'
GradientDescentEX/yolov3_with_mobilenet
yolov3 using tensorflow with mobilenet