Konilgkms

the-algorithm

Source code for Twitter's Recommendation Algorithm

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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

google-research

Google Research

ShadowsocksX-NG

Next Generation of ShadowsocksX

faiss

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

learnGitBranching

An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!

shap

A game theoretic approach to explain the output of any machine learning model.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

lihang-code

《统计学习方法》的代码实现

LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

LightGBM

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 tasks.

interview_python

关于Python的面试题

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

Dive-into-DL-TensorFlow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

NN-CUDA-Example

Several simple examples for popular neural network toolkits calling custom CUDA operators.

RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

Daily-DeepLearning

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

cdp

Code for our ECCV 2018 work.

Deep-learning-in-PHM

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

WeChat_Big_Data_Challenge

RUL-Net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

TianChi_HaiYang

2020数字**创新大赛—算法赛：智慧海洋建设

DataMiningCase

基于真实业务上手数据挖掘（银行流失预警）:数据的处理、LightGBM、skLearning包(里面含有：GridSearchCV寻找最优参、StratifiedKFold分层5折切分、_test_Split单次数据切分等)、叠层模型融合、画AUC图、画混淆矩阵图，并输出预测名单。

TianChi_ZhiLianZhaoPin

第二届阿里巴巴大数据智能云上编程大赛-智联招聘人岗智能匹配

2020_Autumn_Interview

2020 Autumn Interview of Machine Learning