siqi-z Goto Github PK

2016

acceleratedmirrordescent

anomalydetection

Anomaly Detection with R

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-hacking

A collection of various awesome lists for hackers, pentesters and security researchers

awesome-ml

Machine Learning Awesome List

awesome-network-embedding

A curated list of network embedding techniques.

bcoapg-plus

MATLAB Code for the paper "Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics"

blog

Some notes on things I find interesting and important.

bregmanprojection

cama_summer_class_2017

杭电 CAMA-LAB 机器学习暑期研讨班

coding-interview-university

A complete computer science study plan to become a software engineer.

curve

A tool for labeling anomalies on time-series data

deephar

Deep human action recognition and pose estimation

dl_project

driverpostureclassification

PyTorch-based Driver Posture Classification

duke-tsinghua-mlss-2017

Duke-Tsinghua Machine Learning Summer School 2017

egads

Extendible Generic Anomaly Detection System

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kaggle_state_farm

VGG & Resnet Neural Networks for Kaggle's State Farm Distracted Driver Detection contest (Tensorflow)

keras-image-classifer-framework

a general image classifer framework written by Keras

l2h-live

[VSCode-Extension] ▶️ Live-preview for LaTeX document

leetcode

:pencil2: LeetCode solutions in C++ 11 and Python3

libol

Library for Online Learning algorithms

linearfw

Frank-Wolfe optimization variants with a linear convergence rate

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

lstm_anomaly_thesis

Anomaly detection for temporal data using LSTMs

lstm_tsc

An LSTM for time-series classification