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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

bloodcell_detection

codeclass

「编程技术学习指南」学习路线+学习资源。从编程小白到架构师，所有你需要掌握的内容都在这里

cogan

crp

C++ Implementation of Customizable Route Planning (CRP) by Delling et al.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dcgan

Porting pytorch dcgan on FloydHub

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

flink-learning

flink learning blog. http://www.flink-learning.com 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

flow-cutter

Experimental FlowCutter Code

geos

Geometry Engine, Open Source

graph-partitioning-with-natural-cuts

Implementation of the graph partitioning algorithm described in paper "Graph Partitioning with Natural Cuts" in the 2011 IEEE International Parallel & Distributed Processing Symposium

hdmap

inertialflowcutter

C++ implementation and evaluation for the InertialFlowCutter algorithm to compute Customizable Contraction Hierarchy orders.

json

JSON for Modern C++

kahip

KaHIP -- Karlsruhe HIGH Quality Partitioning.

keras-gan

Keras implementations of Generative Adversarial Networks.

kl-partitioning

Min-cut partitioning a graph using kernighan Lin algorithm

leetcode

LeetCode题解，151道题完整版

mapformat

这里用来保存地图相关的数据格式文档，包括OpenDrive等格式。

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

moderncmake

nlp-beginner-finish

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

objectron

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

onetbb

oneAPI Threading Building Blocks (oneTBB)

open-kbp

Repository to help contestants get started in the OpenKBP: AAPM2020 Grand Challenge