mltheory / CS7545Links
☆20Updated last year
Alternatives and similar repositories for CS7545
Users that are interested in CS7545 are comparing it to the libraries listed below
Sorting:
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- ☆232Updated 2 years ago
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆38Updated last month
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆124Updated 2 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆47Updated 3 weeks ago
- DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)☆48Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆94Updated last year
- ☆60Updated last year
- Course materials for Introduction to Time Series, Fall 2023☆11Updated 8 months ago
- My notes from class☆70Updated 7 years ago
- ☆189Updated 2 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆118Updated last year
- A package for conformal prediction with conditional guarantees.☆61Updated 5 months ago
- [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…☆11Updated 2 years ago
- Showcasing Causality Group's benchmark data through a data loading library and a signal backtesting example.☆27Updated last year
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 6 years ago
- ☆27Updated 2 years ago
- ☆11Updated last month
- Robust pricing and hedging via Neural SDEs☆37Updated 4 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2024☆22Updated 3 weeks ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆171Updated last year
- Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.☆17Updated 6 months ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆54Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆88Updated 6 years ago
- ☆20Updated 2 years ago
- Python implementation for Bellman Conformal Inference algorithm for time series forecasting.☆21Updated last year
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 8 months ago
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- ☆24Updated 3 years ago