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100_days_of_python

100 days of python exercises

2018-gis-courses

Course materials for the 2018 version of the Automating GIS processes -course at the University of Helsinki, Finland

2020-miccai-asmus-automatic-onsd

ultrasound ONSD

30daymap-2023

Repository for hosting materials for my 30 Day Map Challenge (2023) Journey!

365-days-computer-vision-learning-linkedin-post

365 Days Computer Vision Learning Linkedin Post

3dunet_abdomen_cascade

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

abc-classroom

Tools to automate github classroom and autograding workflows

acolite

ACOLITE: generic atmospheric correction module

advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

affineinvariantmcmc.jl

Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler

ai

Repository of various AI models - LSTM, CNN, AutoEncoders, GAN and Reinforcement Learning

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

ai4boundaries

aifh

Artificial Intelligence for Humans

aio2-few-labels

Official implementation of TGRS paper - AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation

airbnb-azure-data-engg-pipeline

Etl azure data pipeline

airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

akaze

Accelerated-KAZE Features

alerts-for-binance-pwa

Get crypto price alerts

algorithms-from-scratch

kmeans kmedoid deep dive

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

amazon

Satellite-Based Estimates Reveal Widespread Forest Degradation in the Amazon

amazon-bedrock-workshop

This is a workshop designed for Amazon Bedrock a foundational model service.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazon-sagemaker-feature-store-end-to-end-workshop

amazon-sagemaker-feature-store-end-to-end-workshop +++++++

an-example-of-cnn-on-mnist-dataset

An Example of CNN on MNIST dataset

anatomyofmatplotlib

Anatomy of Matplotlib Tutorial originally developed for SciPy 2013

android-obd-reader

Android OBD-II Reader application that uses pure OBD-II PID's Java API.