VincentGranville / Stochastic-ProcessesLinks
My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.
☆42Updated 6 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:
- This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …☆51Updated 2 years ago
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…☆96Updated 10 months ago
- Statistical optimization for AI and machine learning☆59Updated 8 months ago
- Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generati…☆121Updated last month
- Visualizations for machine learning, high dimensional data, including creation of MP4 videos and animated Gifs in Python.☆31Updated 2 years ago
- Research on number theory conjectures, leading to the development of new machine learning techniques, initially applied to math problems …☆22Updated 2 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 6 months ago
- Official repository for the book Time Series Forecasting with Foundation Models☆24Updated last month
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆23Updated 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…☆85Updated last year
- References to the Medium articles☆86Updated 2 years ago
- Includes material (code + description) that I turned into notebooks☆51Updated last year
- This repository holds my paper implementations made for my studies and my content production☆35Updated 9 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
- NYU Artificial Intelligence Spring 2024☆59Updated 9 months ago
- Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.☆12Updated 4 years ago
- Exploring the classical regression capabilities of LLMs.☆18Updated last year
- A neural network hyper parameter tuner☆30Updated last year
- ☆17Updated 10 months ago
- Adding timestamps to NumFOCUS and PyData YouTube videos!☆96Updated 3 years ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 3 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- ☆25Updated 2 years ago
- Course materials for introductory data science☆62Updated 2 years ago
- Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"☆96Updated 2 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆71Updated last year
- I am learning from Hugging Face.☆22Updated last year
- Demo of Hydra☆18Updated 3 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆68Updated 2 years ago