PyData 2018 tutorial for tidying data

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Built for //BUILD 2017; this repo contains 15 minutes code challenges across data platform and analytics. Inclusive of; SQL Server on Linux, Azure SQL Database, Azure DocumentDB, Azure Search, HDInsight, MySQL as a Service, PostgreSQL as a Service, Bot Framework, Python Tools for Visual Studio, R Tools for Visual Studio. Get challenged, learn new stuff, fork the repo, contribute to the repo, and get a sneak peak the exciting world of Microsoft products and services.

PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

This repository contains EmoBank, a large-scale text corpus manually annotated with emotion according to the psychological Valence-Arousal-Dominance scheme.

A statistical model-based Voice Activity Detection

Corrupted labels and label smoothing

This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube

对抗样本

One place for all the default credentials to assist the Blue/Red teamers activities on finding devices with default password 🛡️

Artificial Learning, Intelligent Machines

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Implementation of "Texture Synthesis with Non-Parametric Sampling" paper by Alexei A. Efros and Thomas K. Leung

https://cc-mnnit.github.io/2018-19-Classes/ - 🎒 💻 Material for Computer Club Classes

The repository provides usefull python scripts for ML and data analysis

Tutorial on topic models in Python with scikit-learn