VincentGranville / Stochastic-ProcessesLinks
My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.
☆46Updated 10 months ago
Alternatives and similar repositories for Stochastic-Processes
Users that are interested in Stochastic-Processes are comparing it to the libraries listed below
Sorting:
- Statistical optimization for AI and machine learning☆61Updated last year
- This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …☆53Updated 3 years 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
- 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 5 months ago
- Research on number theory conjectures, leading to the development of new machine learning techniques, initially applied to math problems …☆25Updated 2 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 10 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- Official repository for the book Time Series Forecasting with Foundation Models☆44Updated last month
- Demo of Hydra☆18Updated 3 years ago
- References to the Medium articles☆86Updated 3 years ago
- This repository holds my paper implementations made for my studies and my content production☆37Updated last year
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 3 months ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 11 months ago
- ☆13Updated last year
- Adding timestamps to NumFOCUS and PyData YouTube videos!☆104Updated 3 years ago
- ☆19Updated 2 months ago
- A neural network hyper parameter tuner☆30Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year
- 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
- Exploring the classical regression capabilities of LLMs.☆18Updated last year
- Course materials for introductory data science☆62Updated 2 years ago
- ☆12Updated 2 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆69Updated 2 years ago
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆38Updated last month
- ☆24Updated 2 months ago
- MLFlow End to End Workshop at Chandigarh University☆11Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 2 years ago