Machine Learning Toolkit for Kubernetes
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Updated
Sep 26, 2024 - TypeScript
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Machine Learning Toolkit for Kubernetes
Prophecis is a one-stop cloud native machine learning platform.
CNN image classifier implemented in Keras Notebook 🖼️.
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Collaboration platform for data science projects & Jupyter notebooks
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projects.
A collection of notebooks of my Machine Learning class written in python 3
Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
Render Jupyter Notebooks With Metaflow Cards
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python
Parameterize Python scripts/notebooks all from the command line and run on cloud GPUs
Machine Learning Notebooks
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Basic OpenCV Projects like Face Detection, Contour, Edge Detection etc
Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
Notebooks from ML Techniques course at IITM Online degree programme
Implementation of several ML models on real-world datasets with detailed explanation in notebooks.