jasmine2018jixun

acm-cheat-sheet

Acm Cheat Sheet

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

Anomaly-Detection

异常检测

BRITS

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++

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

fraud-detection

fraud detection

jasmine2018jixun.github.io

用于个人主页

Support-Vector-Data-Description-SVDD

MATLAB Code for abnormal detection or fault detection using Support Vector Data Description (SVDD).

jasmine2018jixun/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++

jasmine2018jixun/Support-Vector-Data-Description-SVDD

MATLAB Code for abnormal detection or fault detection using Support Vector Data Description (SVDD).

jasmine2018jixun/acm-cheat-sheet

Acm Cheat Sheet

jasmine2018jixun/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

jasmine2018jixun/Anomaly-Detection

异常检测

jasmine2018jixun/BRITS

jasmine2018jixun/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

jasmine2018jixun/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

jasmine2018jixun/fraud-detection

fraud detection

jasmine2018jixun/jasmine2018jixun.github.io

用于个人主页

jasmine2018jixun/bilibili_fork

bilibili后台源码

jasmine2018jixun/learn-python3

Learn Python 3 Sample Code

jasmine2018jixun/leetcode2020

jasmine2018jixun/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。

jasmine2018jixun/PersonalizedMultitaskLearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

jasmine2018jixun/pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

jasmine2018jixun/PyTorch-Course

JULYEDU PyTorch Course

jasmine2018jixun/Reflection_Summary

算法理论基础知识应知应会

jasmine2018jixun/Semantic-Similarity-of-Sentences

Methods used: Cosine Similarity with Glove, Smooth Inverse Frequency, Word Movers Difference, Sentence Embedding Models (Infersent and Google Sentence Encoder), ESIM with pre-trained FastText embedding. Best performing method on Quora Question pair dataset was an Ensemble method with 0.27 log-loss.

jasmine2018jixun/spark

spark学习资料