HOURS's repositories
ActiveLearningFrameworkTutorial
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
Lane-Segmentation-Solution-For-BaiduAI-Autonomous-Driving-Competition
Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)
Easiest-SRGAN-demo
最简单的基于SRGAN网络的实现， 附带已训练好的模型及GIF生成代码， 更适合作为Demo展示
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
pytorch-YOLO-v1
an experiment for yolo-v1, including training and testing.
Image-Caption
Image caption in Chinese 图像中文描述
soft-nms
Object Detection
FCN-for-Semantic-Segmentation
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
RefineDet
Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018
pytorch-retinanet
RetinaNet in PyTorch
NearPy
Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.
models
Models and examples built with TensorFlow
deep_learning_object_detection
A paper list of object detection using deep learning.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
chinese-poetry
最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。
practicalAI
📚A practical approach to learning and using machine learning.
SSH
SSH: Single Stage Headless Face Detector
nmt
TensorFlow Neural Machine Translation Tutorial
coco
MS COCO API (fork with fix for Python3)
CornerNet-1
tensorflow
ASM-Pytorch
Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria
tutorials
机器学习相关教程
yolo2-pytorch
YOLOv2 in PyTorch
keras-shufflenetV2
Keras implementation of ShuffleNet V2
Dataset_to_VOC_converter
Scripts to convert datasets (Caltech pedestrian, MS COCO, HDA) to PASCAL VOC format
deep-active-learning
Deep Active Learning
data_generator_object_detection_2d
A data generator for 2D object detection
ActiveSemiSupervisedDeepLearning
Comparing active learning, semi-supervised learning and combination of them on deep learning.