Starred repositories
An Open Source Machine Learning Framework for Everyone
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
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
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)
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
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.
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架
Code Snippets of DataStructure & Algorithm & LeetCode Implementations/Solutions for Several Programming Language: Java, JavaScript, Go, Python, Rust, etc. 💫 多语言版本的数据结构与算法实现分析