lisha1992 Goto Github PK

followers: 0.0 following: 3.0 repos: 150.0 gists: 0.0

Name: shali

Type: User

Location: Hong Kong

shali's Projects

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithm-interview

经典算法&面试题的源代码实现项目

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

algorithms

Minimal examples of data structures and algorithms in Python

android-malware

Collection of android malware samples

anomaly-detect-timeseries

Repo for using an LSTM and other algorithms on time series data for anomaly detection

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomaly_detection_lab

Introduction to unsupervised anomaly detection

articles

Code related to my articles.

attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

avenir

Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-deep-learning-papers

The most cited deep learning papers

awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

awesome-distributed-systems

A curated list to learn about distributed systems

awesome-learning-resource

A curated list of all kinds of learning resources, blogs, books, videos and so on. And I'll keep it up to date. 😉

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.