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

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

aim

Aim — an easy-to-use and performant open-source experiment tracker.

airlab

Image registration laboratory for 2D and 3D image data

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

apache-spark-programming-with-databricks

Owner: Jacob Parr | Apache Spark Programming with Databricks

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-llm

Awesome-LLM: a curated list of Large Language Model

data-science-career

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

data-science-project-template

With this batch files you can create in one-click a fully working data science project template ready to code and experiment.

deep-learning-for-medical-applications

deepo

Setup and customize deep learning environment in seconds.

dev-javascript-from-zero-to-expert

The Complete JavaScript Course 2022: From Zero to Expert!

dicom-cookies

an example JSON API dicom cookie dataset for testing DICOM services

dicom-validator

DICOM Tools based on DocBook DICOM specs

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

facerecogsmallapp

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

heart-mri-s-segmentation

Use Azure Machine learning Service to understand how Neural Networks can solve medical imaging problems. Use Transpose Convolutional Neural Networks. Use Keras and TensorFlow 2 to analyze image data and get the segmentation model (UNET)

hexagdly

Process hexagonally sampled data with PyTorch

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

info

jupyter-intro-xfel-jan17

Introduction to Jupyter Notebook

llama_cpp_python_datio

machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

machine-learning-resources

A curated list of awesome lists across all machine learning topics.

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

mastering-llms

In this repo you will find a roadmap to master Large Language Models

mastering-transformers

Mastering Transformers, published by Packt