VincentGranville / Statistical-OptimizationLinks
Statistical optimization for AI and machine learning
☆61Updated last year
Alternatives and similar repositories for Statistical-Optimization
Users that are interested in Statistical-Optimization are comparing it to the libraries listed below
Sorting:
- My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…☆46Updated 11 months ago
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…☆99Updated last year
- This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …☆53Updated 3 years ago
- Visualizations for machine learning, high dimensional data, including creation of MP4 videos and animated Gifs in Python.☆32Updated 2 years ago
- Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generati…☆123Updated 6 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- Research on number theory conjectures, leading to the development of new machine learning techniques, initially applied to math problems …☆25Updated 3 months ago
- Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for G…☆88Updated 2 years ago
- Official repository for the book Time Series Forecasting with Foundation Models☆46Updated 3 weeks ago
- Slides for "Feature engineering for time series forecasting" talk☆64Updated 3 years ago
- Adding timestamps to NumFOCUS and PyData YouTube videos!☆105Updated 3 years ago
- Includes material (code + description) that I turned into notebooks☆51Updated 2 years ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆65Updated 2 weeks ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 2 years ago
- Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning☆108Updated 2 years ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- ☆24Updated 3 months ago
- Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expect…☆45Updated last year
- A pipeline to detect data drift and retrain the model when there is drift☆24Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Forecasting: Principles and Practice☆61Updated 4 years ago
- ☆20Updated 2 months ago
- GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry☆44Updated last month
- Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt☆37Updated this week
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 4 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 11 months ago
- Example Notebooks contributed by pycaret community!☆45Updated 2 years ago
- Implementation of various Machine learning and MLOps applications/tutorials used within my Medium blog.☆11Updated 2 years ago
- ☆79Updated 3 months ago
- ☆94Updated last month