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Focusing
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Focusing
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  • future
  • China
  • 14:37 (UTC +08:00)

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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ichdream/README.md

嗨，关于我 👋

Hi {折腾 ⇌ 探索 ⇌ 思考]ing，继续前进，永不止境...

  • 🔭最近两年工作在自动驾驶行业，专注与底层自动驾驶系统的开发和优化，包括：系统安全，系统稳定性和实时性等
  • 🌱在互联网做过算法工程师，用机器学习和人工智能类算法解决风险预测的问题，但不同于其它领域，我们对算法的可解释性和符合逻辑要求高。
  • ChatGPT大火，势必对软件编程范式造成非常大的革命，希望能结合之前做算法的经验，目前编程的经验等进行融合，提高效率，创造新的工具🔧
  • 😄技术涉猎广泛，对很多技术都有浓厚的兴趣，除了工作中涉及的技术栈外，还深入C++模版编程，范型编程，C++网络编程，高性能编程，Linux内核，计算机体系结构等
  • 欢迎找我合作，技术交流等

Languages and Tools

C C++ Embedded Systems Microkernel RTOS Linux System Linux Kernel U-Boot Assembly Artificial Intelligence Machine Learning Deep Learning Big Data High Performance Computing Python Shell SQL Rust Git

ichdream's github stats

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  1. dmlc/xgboost dmlc/xgboost Public

    Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

    C++ 26.4k 8.7k

  2. BaGua BaGua Public

    BaGua Operating system is aiming to focus on the future's needs, accelerating the world to be more flexible, warmable, believable.八卦操作系统专注于未来世界的需求，加速世界向更加有温度，可信任，弹性兼具智慧的方向发展。

    C 6

  3. NLP_With_Spark NLP_With_Spark Public

    基于Spark平台利用信息论实现中文分词

    Jupyter Notebook 1

  4. Machine-Learning-Competition Machine-Learning-Competition Public

    参加过的一些国内外机器学习和数据挖掘类的竞赛，包括阿里的天池，kesci，Kaggle等。

    R 1

  5. Not-Only-Leetcode Not-Only-Leetcode Public

    算法和数据结构的目的是什么？不断追求程序的简洁，性能，解决最实际的问题，Leetcode的目的也在于此，也应该始终在此，而不应该为了做题而做题。

    C++

  6. cpp-and-its-templates cpp-and-its-templates Public

    c++ and its templates

    C++