zhiwen123's Projects
数据结构和算法必知必会的50个代码实现
A collection of algorithms and data structures
A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically.
The most cited deep learning papers
---AWESOME--- C++学习笔记和常见面试知识点,C++11特性,包括多态、虚表、移动语义、友元函数、符号重载、完美转发、智能指针、const和static、数组指针和指针数组、struct内存对齐、enum和union关键字等等
Automatically detect buidings from remote sensing images
Winning building footprint detector implementations from the SpaceNet challenges.
Caffe: a fast open framework for deep learning.
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
Windows Calculator: A simple yet powerful calculator that ships with Windows
5th visual object tracking(VOT) tracker CFWCR
Harvard WorldMap is a heavily modified fork of GeoNode 1.x, soon to be migrated to GeoNode 2.x. WorldMap is being made available by Harvard's Center for Geographic Analysis to lower the barrier for scholars and others who wish to explore, visualize, edit, collaborate with, and publish geospatial information.
Solutions provided to Chip Huyen's Machine Learning Interview Book with GPT
Circuitscape is a free, open-source program which borrows algorithms from electronic circuit theory to predict patterns of movement, gene flow, and genetic differentiation among plant and animal populations in heterogeneous landscapes. Circuit theory complements least-cost path approaches because it considers effects of all possible pathways across a landscape simultaneously.
Best Practices, code samples, and documentation for Computer Vision.
C++那些事
The Open Images dataset
Literature references for “Designing Data-Intensive Applications”
Deep Learning with TensorFlow 2 and Keras, published by Packt
This is a repository for sharing deep learning algorithms for processing remote sensing data.
This is a repository for sharing deep learning algorithms for recognizing species from images (including camera trap and drone images), such as Amur tiger, leopard, roe deer, et al.
A paper list of object detection using deep learning.
Deep learning driven jazz generation using Keras & Theano!
Deep Learning Book Chinese Translation
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
Fast R-CNN
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)