jimimao Goto Github PK

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

basic-algorithm

implement some algorithm

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

binarytreepackage

BinaryTreeVisual package

catfeeddog

personal page

cccnet

CCCNet for HCY

codinginterviewchinese2

《剑指Offer》第二版源代码

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

datascientist

completment of data scientists handbook

dayday

Recode daily learning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

event-linkage-and-impact-prediction

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子，not only how，but also why. English version supported!

git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

implementfortraditionnn

complete some static NN model

interview_python

关于Python的面试题

machine-learning

Learning code for ML

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。

nndl

Another Chinese Translation of Neural Networks and Deep Learning

note-of-interview

《互联网面试笔记》收集和分析互联网常见面试题，并将这些面试知识整理成文方便大家查阅。主要是面向java程序员，但基础知识部分不同语言程序员(c,c++,python等）都可以参考。---持续更新中, 欢迎编辑~

ostep-translations

Various translations of OSTEP can be found here. Help the cause and contribute!

paper_master

rspapers

Must-read papers on Recommender System.

simple_pla

python 实现的一个简单的感知机模型，还未完善，一点点修改，第一次尝试全手写。仅使用numpy库。

skill-tree

🐼 准备秋招，欢迎来树上取果实

statisticallearningmethod

StatisticalLearningMethod Implement