Pengcheng Sun's repositories
advanced-go-programming-book
:books: 《Go语言高级编程》开源图书，涵盖CGO、Go汇编语言、RPC实现、Protobuf插件实现、Web框架实现、分布式系统等高阶主题(完稿)
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
ananas
A C++11 RPC framework based on future and protobuf, with utility: timer,ssl,future/promise,log,coroutine,etc
better-enums
C++ compile-time enum to string, iteration, in a single header file
decision-trees-for-ml
Building Decision Trees From Scratch In Python
distcc
distributed builds for C, C++ and Objective C
faiss
A library for efficient similarity search and clustering of dense vectors.
fm_python
implement fm demo with python
freecache
A cache library for Go with zero GC overhead.
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
gbdt
Gradient boosting decision trees.
gitignore
A collection of useful .gitignore templates
go
The Go programming language
hnswlib
Header-only C++/python library for fast approximate nearest neighbors
libffm
A Library for Field-aware Factorization Machines
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。
mmap_allocator
A STL allocator that mmaps files
NanoLog
Nanolog is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API.
or-tools
Google's Operations Research tools:
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
rttr
C++ Reflection Library
sse-popcount
SIMD (SSE) population count --- http://0x80.pl/articles/sse-popcount.html
streaming-readings
Streaming System 相关的论文读物
taskflow
Modern C++ Parallel Task Programming
TensorFlow_Practice
推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/
wangle
Wangle is a framework providing a set of common client/server abstractions for building services in a consistent, modular, and composable way.
xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.