tang662019 Goto Github PK

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tang662019's Projects

955.wlb

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

arxivtimes

repository to research & share the machine learning articles

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

cascade-rcnn_pytorch

An implementation of Cascade R-CNN: Delving into High Quality Object Detection.

ccpd

[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

cikm-cup-2017

CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

darknet

YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dynamicrouting

Learning Dynamic Routing for Semantic Segmentation

easy_hmm

A easy HMM program written with Python, including the full codes of training, prediction and decoding.

easy_slam_tutorial

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

fire-smoke-detect-yolov4

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

hko-7

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

introrl

Intro to Reinforcement Learning (强化学习纲要）

isda-for-deep-networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.