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500 AI Machine learning Deep learning Computer vision NLP Projects with code
machine learning and deep learning tutorials, articles and other resources
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.
Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
A topic-centric list of HQ open datasets.
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
The "Python Machine Learning" book code repository and info resource
Interactive Tools for Machine Learning, Deep Learning and Math
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A curated list of awesome Machine Learning frameworks, libraries and software.
Pen and paper exercises in machine learning
🧮 A collection of resources to learn mathematics for machine learning
🎓 Sharing machine learning course / lecture notes.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.
AzizKABA / introduction-to-machine-learning-archived
Forked from gaih/introduction-to-machine-learning-archivedThe Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Quick links, resources , books for different programming language
Physics-informed neural network for solving fluid dynamics problems
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Deep learning for Engineers - Physics Informed Deep Learning
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
In-situ data analyses and machine learning with OpenFOAM and Python
List of Computer Science courses with video lectures.
Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov
