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zarca's Projects

angel icon angel

A Flexible and Powerful Parameter Server for large-scale machine learning

arrow icon arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

bigdl icon bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

bitcoin icon bitcoin

Bitcoin Core integration/staging tree

boinc icon boinc

Open-source software for volunteer computing and grid computing.

catch2 icon catch2

A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)

codinginterviewchinese2 icon codinginterviewchinese2

《剑指Offer》第二版源代码(Clone from: https://github.com/zhedahht/CodingInterviewChinese2)

cs-roadmap icon cs-roadmap

❤️这是一条汇总网上许多资料,而不是资料的纯粹堆砌,让人眼花缭乱的复制粘贴,这不是帮你在总结所有的知识点,而是根据实际的计算机系课程来安排学习路线,并且配合上面向就业的学习,与完全跟着学校课程相比,做到了不和工业界面试不脱节,非常实际、非常认真、非常掉头发,真心求个视频三连!

csapp-3e-solutions icon csapp-3e-solutions

CSAPP 3e Solutions, migrated to github.io from gitbook.io which is being shut down.

developkit_set icon developkit_set

2019年最新总结,值得推荐的c/c++开源框架与库。持续更新中。

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgl-ke icon dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

dpu_demo icon dpu_demo

Examples of DPU programs using the UPMEM DPU SDK

ethereumbook icon ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

fedml icon fedml

FedML - The federated and distributed machine learning library enabling machine learning anywhere at any scale. It's backed by FedML, Inc (https://FedML.ai). Supporting large-scale geo-distributed training, cross-device federated learning on smartphones/IoTs, cross-silo federated learning on data silos, and research simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. FedML’s core technology is backed by years of cutting-edge research represented in 50+ publications in ML/FL Algorithms, Security/Privacy, Systems, and Applications, as well as 10 years of industrial experience in Distributed Systems, Cloud Computing, and Mobile/IoT Systems.

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

minix1 icon minix1

Original Minix 1 sources from the book "Operating Systems: Design and Implementation" 1st ed.

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