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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

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.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

awesome-deep-learning

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

awesome-learning-resources

"Technology Gold mine" to collect and share materials/resources

awesome-machine-learning

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

awesome-python-decorator

A curated list of awesome python decorator resources.

aws-project

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

coursera-deep-learning-specialization

Notes,programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai:

data-science

Collection of useful data science topics along with articles, videos, and code

data-science-interviews

Data science interview questions and answers

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningpython

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

fastbook

The fastai book, published as Jupyter Notebooks

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

grokkingdeepreinforcementlearningg

Grokking Deep Reinforcement Learning

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.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-zoomcamp

Learn ML engineering for free in 4 months!

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

made-with-ml

Learn how to design, develop, deploy and iterate on production-grade ML applications.

manning

Repository for the book Grokking Machine Learning, by Manning Editors

mathematics-for-ml

🧮 A collection of resources to learn mathematics for machine learning

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mlcourse.ai

Open Machine Learning Course

mlinterview

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

mlops

MLOps examples