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ckj-123's Projects

2dto3d icon 2dto3d

Using camera calibration and PnP to translate Pixel Coordinates System 2D coordinate point (u, v) to World Coordinate System 3D coordinate point (X, Y, Z).

avalon icon avalon

Software to control the Avalon boat

centerfusion icon centerfusion

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

datasciencestudynotes icon datasciencestudynotes

这个仓库保管从(数据科学学习手札69)开始的所有代码、数据等相关附件内容

dcrnn icon dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

dcrnn_pytorch icon dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

fastfpn icon fastfpn

Tensorflow implementation for "Feature Pyramid Networks for Object Detection"

fpn.pytorch icon fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

geotracknet icon geotracknet

A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection

it_book icon it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

mad-gans icon mad-gans

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

pyais icon pyais

AIS message decoding in Python (AIVDM/AIVDO)

sgan icon sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

social-stgcnn icon social-stgcnn

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

tcn icon tcn

Sequence modeling benchmarks and temporal convolutional networks

yolov4-keras icon yolov4-keras

这是一个YoloV4-keras的源码,可以用于训练自己的模型。

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