ageron / handson-ml2
notebooker, 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.
From user ageron
notebooker, 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.
From user ageron
notebooker, 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.
From user ageron
notebooker, Notebooks and code for the book "Introduction to Machine Learning with Python"
From user amueller
notebooker, Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
From organization apache
Home Page: https://zeppelin.apache.org/
notebooker, Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง Amazon SageMaker.
From organization aws
Home Page: https://sagemaker-examples.readthedocs.io
notebooker, Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
From organization azure
Home Page: https://docs.microsoft.com/azure/machine-learning/service/
notebooker, ๐ Guides, papers, lecture, notebooks and resources for prompt engineering
From organization dair-ai
Home Page: https://www.promptingguide.ai/
notebooker, Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
From organization dive-into-machine-learning
Home Page: http://hangtwenty.github.io/dive-into-machine-learning/
notebooker, 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, AWS, and various command lines.
From user donnemartin
notebooker, :notebook: Moved to redhat.gov - OpenShift 3 workshops
From user dudash
notebooker, The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
From organization facebookresearch
notebooker, Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
From organization fastai
Home Page: http://www.fast.ai/2017/07/17/num-lin-alg/
notebooker, Jupyter notebooks for the code samples of the book "Deep Learning with Python"
From user fchollet
notebooker, Python Data Science Handbook: full text in Jupyter Notebooks
From user jakevdp
Home Page: http://jakevdp.github.io/PythonDataScienceHandbook
notebooker, The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
From user jakevdp
notebooker, A collection of IPython notebooks covering various topics.
From user jdwittenauer
notebooker, Jupyter notebooks for teaching/learning Python 3
From user jerry-git
notebooker, Lectures on scientific computing with python, as IPython notebooks.
From user jrjohansson
notebooker, Jupyter Interactive Notebook
From organization jupyter
Home Page: https://jupyter-notebook.readthedocs.io/
notebooker, Multi-user server for Jupyter notebooks
From organization jupyterhub
Home Page: https://jupyterhub.readthedocs.io
notebooker, Jupyter notebook and datasets from the pandas video series
From user justmarkham
notebooker, Jupyter notebooks from the scikit-learn video series
From user justmarkham
Home Page: https://courses.dataschool.io/introduction-to-machine-learning-with-scikit-learn
notebooker, Exercise notebooks for Machine Learning modules on Microsoft Learn
From organization microsoftdocs
notebooker, Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
From user rlabbe
notebooker, Practice and tutorial-style notebooks covering wide variety of machine learning techniques
From user tirthajyoti
Home Page: https://machine-learning-with-python.readthedocs.io/en/latest/
notebooker, Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
From user wesm
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.