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100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

100-days-of-machine-learning

100-days-of-ml-code

100 Days of ML Coding

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

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

365 Days Computer Vision Learning Linkedin Post

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

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

6-months-data-science-roadmap-

66days_machinelearning

I am sharing my journey of 66DaysOfData in Machine Learning

abstract-algebra-cheatsheet

:green_book: A visualization of key structures in abstract algebra.

advanced-analytics-spark

Python port of the Scala code of the book Advanced Analytics with Spark, by Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

aicc-spr20-transportation-seamseg

Seamless Scene Segmentation

amazon-sagemaker-examples

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

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

applied-ml

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

around-dataengineering

around-dataengineering

artificial_intelligence_in_finance

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

avgword2vec-implementation

awesome--data-ai-careers-roadmaps

A curated list of roadmaps covering different skills data science & AI careers and skills

awesome-ai-data-github-repos

A collection of the most important Github repos for ML, AI & Data science practitioners

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)