Artificial Learning, Intelligent Machines

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

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

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

A statistical model-based Voice Activity Detection

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

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

The repository provides usefull python scripts for ML and data analysis

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 of "Weight Uncertainty in Neural Networks"

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)

Tutorial on topic models in Python with scikit-learn

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

PyData 2018 tutorial for tidying data

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

Demos associated with the kernel gateway incubator project

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

Corrupted labels and label smoothing