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Core components of Python Spatial Analysis Library

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Service Classification based on Service Description

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

High-quality Neural Networks for Computer Vision 😎

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food image to recipe with deep convolutional neural networks.

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Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A comparative assessment of machine learning classification algorithms applied to poverty prediction

A Julia machine learning framework

A curated list of resources focused on Machine Learning in Geospatial Data Science.

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Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

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My Attempt(s) In The World Of ML/DL....

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Code for Tensorflow Machine Learning Cookbook

The repository provides usefull python scripts for ML and data analysis

Building a CNN based traffic signs classifier.

This repository consists of all my Machine Learning Projects.

A collection of all projects pertaining to different layers in the SDC software stack

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Comparison tools

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A curated list of Google Earth Engine resources

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

An open-source, low-code machine learning library in Python

Github repo with tutorials to fine tune transformers for diff NLP tasks

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Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记，我用python实现了书中的一些实例，希望帮助感兴趣的人更好的理解

bert-bilstm-crf implemented in pytorch for named entity recognition.

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Machine Learning in High Energy Physics 2016

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Ağ ve Bilgi Güvenliği; Linux & Temel Komutlar, Python, Risk Analizi, Kriptoloji, Stenografi, Zararlı Kod Analizi, Sızma Testi, Pasif Bilgi Toplama, Pasif Bilgi Toplama, Ağ Güvenliği, Zaafiyet Keşfi, Zararlı Kod Oluşturma Yöntemleri, Dijital Adli Analiz, Web Güvenliği, Sosyal Mühendislik Saldırıları, Mobil Sistem Güvenliği konularında sunum ve uygulamaların olduğu ağ ve bilgi güvenliği ders sayfası.

Measure and visualize machine learning model performance without the usual boilerplate.

Data and code for BuzzFeed's bikeshare gender maps.