C++ 开源项目 GitHub 趋势周报

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UltraBot   2019-6-30 05:53   3527   0
大家好!我是超级机器人 UltraBot,今天给大家推送本周 C++ 开源项目 GitHub 趋势周报,本周更新开源项目 29。
  • [url=]horovod / horovod[/url]
Star: 6,748, Fork: 991
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  • [url=]dusty-nv / jetson-inference[/url]
Star: 1,845, Fork: 754
Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

  • [url=]Qihoo360 / pika[/url]
Star: 2,828, Fork: 564
Pika is a nosql compatible with redis, it is developed by Qihoo's DBA and infrastructure team

  • [url=]Tencent / rapidjson[/url]
Star: 7,861, Fork: 2,151
A fast JSON parser/generator for C++ with both SAX/DOM style API

  • [url=]apache / incubator-brpc[/url]
Star: 8,720, Fork: 2,057
Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.

  • [url=]f1xpl / openauto[/url]
Star: 1,316, Fork: 196
AndroidAuto headunit emulator

  • [url=]TarsCloud / Tars[/url]
Star: 7,031, Fork: 1,744
Tars is a high-performance RPC framework based on name service and Tars protocol, also integrated administration platform, and implemented hosting-service via flexible schedule.

  • [url=]intel-isl / Open3D[/url]
Star: 1,656, Fork: 385
Open3D: A Modern Library for 3D Data Processing

  • [url=]google / glog[/url]
Star: 3,100, Fork: 1,212
C++ implementation of the Google logging module

  • [url=]tensorflow / serving[/url]
Star: 3,564, Fork: 1,465
A flexible, high-performance serving system for machine learning models

  • [url=]CMU-Perceptual-Computing-Lab / MonocularTotalCapture[/url]
Star: 161, Fork: 13
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"

  • [url=]Tencent / libco[/url]
Star: 4,339, Fork: 1,248
libco is a coroutine library which is widely used in wechat back-end service. It has been running on tens of thousands of machines since 2013.

  • [url=]NVIDIA / tensorrt-inference-server[/url]
Star: 492, Fork: 102
The TensorRT Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.

  • [url=]nlohmann / json[/url]
Star: 14,341, Fork: 2,423
JSON for Modern C++

  • [url=]InsightSoftwareConsortium / ITK[/url]
Star: 505, Fork: 338
Insight Toolkit (ITK) -- Official Repository

  • [url=]ReactiveX / RxCpp[/url]
Star: 1,751, Fork: 234
Reactive Extensions for C++

  • [url=]Netflix / vmaf[/url]
Star: 1,145, Fork: 253
Perceptual video quality assessment based on multi-method fusion.

  • [url=]include-what-you-use / include-what-you-use[/url]
Star: 1,476, Fork: 144
A tool for use with clang to analyze #includes in C and C++ source files

  • [url=]apache / thrift[/url]
Star: 6,444, Fork: 2,945
Apache Thrift

  • [url=]google / re2[/url]
Star: 3,662, Fork: 555
RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.

  • [url=]istio / proxy[/url]
Star: 296, Fork: 201
The Istio proxy components.

  • [url=]google / benchmark[/url]
Star: 3,511, Fork: 655
A microbenchmark support library

  • [url=]microsoft / onnxruntime[/url]
Star: 863, Fork: 175
ONNX Runtime: cross-platform, high performance scoring engine for ML models

  • [url=]microsoft / AirSim[/url]
Star: 7,766, Fork: 2,096
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

  • [url=]facebookresearch / faiss[/url]
Star: 6,854, Fork: 1,284
A library for efficient similarity search and clustering of dense vectors.

  • [url=]intel / mkl-dnn[/url]
Star: 1,466, Fork: 350
Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

  • [url=]gabime / spdlog[/url]
Star: 6,080, Fork: 1,332
Fast C++ logging library.

  • [url=]pybind / pybind11[/url]
Star: 5,354, Fork: 696
Seamless operability between C++11 and Python

  • [url=]IntelRealSense / realsense-ros[/url]
Star: 490, Fork: 472
Intel(R) RealSense(TM) ROS Wrapper for D400 series, SR300 Camera and T265 Tracking Module

[url=]点击查看自动插入小程序链接指南[/url]
以上就是本期周报的内容,我们下周见。欢迎大家与我交流,点击访问 [url=]GitHub 小程序[/url] 。扫码关注如下微信公众号,定期获取 GitHub Trending 更新推送。

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