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Name: Aditya
Type: User
Name: Aditya
Type: User
500 AI Machine learning Deep learning Computer vision NLP Projects with code
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.
This is Andrew NG Coursera Handwritten Notes.
A curated list of awesome Deep Learning tutorials, projects and communities.
"Technology Gold mine" to collect and share materials/resources
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome python decorator resources.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Notes,programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai:
Collection of useful data science topics along with articles, videos, and code
Data science interview questions and answers
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
The fastai book, published as Jupyter Notebooks
this repository accompanies the book "Grokking Deep Learning"
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
Grokking Deep Reinforcement Learning
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.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Learn ML engineering for free in 4 months!
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Repository for the book Grokking Machine Learning, by Manning Editors
🧮 A collection of resources to learn mathematics for machine learning
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.
Open Machine Learning Course
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
MLOps examples
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.