mhahsler / Introduction_to_Artificial_IntelligenceLinks
Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.
☆91Updated 2 weeks ago
Alternatives and similar repositories for Introduction_to_Artificial_Intelligence
Users that are interested in Introduction_to_Artificial_Intelligence are comparing it to the libraries listed below
Sorting:
- Graduate course on Machine Learning☆125Updated 6 years ago
- Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost☆50Updated 10 months ago
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆46Updated 2 years ago
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- This repository has scripts and other files that are part of the lecture notes and assignments of the course "Advanced Statistical Infere…☆25Updated 7 years ago
- Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…☆187Updated 2 years ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Updated 2 years ago
- Coursera's Deep Learning Specialization offered by deeplearning.ai.☆46Updated 4 years ago
- ☆22Updated 3 years ago
- Notes for Hands on Machine Learning with Scikit-Learn and TensorFlow☆22Updated 7 years ago
- A Great Collection of Deep Learning (e)Books☆164Updated last year
- ☆12Updated 5 years ago
- Predicting the Sales using Time-series forecasting for month-wise data.☆21Updated 4 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- Repository for GH public projects☆18Updated last year
- Time Series Analysis of Internation Air Passengers☆40Updated 6 years ago
- ☆20Updated 2 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
- jupyter blog☆131Updated last year
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆55Updated 4 years ago
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆81Updated 2 weeks ago
- [NeurIPS 2024 D&B] The Building TimeSeries (BTS) dataset covers three buildings over a three-year period, comprising more than ten thousa…☆62Updated 2 months ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆150Updated 9 months ago
- Notebooks for the Practicals at the Deep Learning Indaba 2023.☆132Updated last year
- Detecting fraudulent transactions on the synthetic banksim dataset with machine learning☆22Updated 2 years ago
- Hands-on tutorial on adversarial examples 😈. With Streamlit app ❤️.☆31Updated 3 years ago
- MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedu…☆224Updated 3 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
- MLFlow End to End Workshop at Chandigarh University☆11Updated 2 years ago
- My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…☆46Updated 11 months ago