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

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

Curso Introdutório de Análise de Dados Públicos

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

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

Demos associated with the kernel gateway incubator project

A statistical model-based Voice Activity Detection

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

A Dutch RoBERTa-based language model

Tutorial on topic models in Python with scikit-learn

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.

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

Multi Label text classification using bert

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

The repository provides usefull python scripts for ML and data analysis

YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, we will apply the YOLO algorithm to detect objects in images.

Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)

This is a python module to scrape basketball-reference.com and convert various stats into usable data structures for analysis