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algo icon algo

数据结构和算法必知必会的50个代码实现

automerge icon automerge

A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically.

awesomecpp icon awesomecpp

---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

buildingdetectors icon buildingdetectors

Winning building footprint detector implementations from the SpaceNet challenges.

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-segnet icon caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

calculator icon calculator

Windows Calculator: A simple yet powerful calculator that ships with Windows

cfwcr icon cfwcr

5th visual object tracking(VOT) tracker CFWCR

cga-worldmap icon cga-worldmap

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.

circuitscape icon circuitscape

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.

ddia-references icon ddia-references

Literature references for “Designing Data-Intensive Applications”

deep_learning_for_species_recognition icon deep_learning_for_species_recognition

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.

deepjazz icon deepjazz

Deep learning driven jazz generation using Keras & Theano!

ernie icon ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.tensorflow icon fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

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