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algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

automl

Google Brain AutoML

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-deep-learning-papers

The most cited deep learning papers

blogs

This is a personal blog using Github issues.

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

difacto

Distributed Factorization Machines

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

faiss

A library for efficient similarity search and clustering of dense vectors.

flask

The Python micro framework for building web applications.

github.io

Personal Blog

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 自动摘要 短语提取 拼音 简繁转换

hello-world

Test a new repository

interview

Everything you need to prepare your technical interview

leetcode

leetcode_solutions

leetcode solutions

leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

libevent

Event notification library

list_of_recommender_systems

A List of Recommender Systems and Resources

memcached

memcached development tree

model_search

nginx

An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html

notebooks

collection of iPython notebooks

papers

Paper notes

python

All Algorithms implemented in Python

recommenders

Best Practices on Recommendation Systems

redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

requests

A simple, yet elegant HTTP library.