dssg / MLinPracticeLinks
Repository for ML in Practice Course at CMU (10-718)
☆63Updated last year
Alternatives and similar repositories for MLinPractice
Users that are interested in MLinPractice are comparing it to the libraries listed below
Sorting:
- ☆42Updated 3 years ago
- Repo for ML for Public Policy Lab course at CMU☆113Updated last year
- Curated list of resources for various topics, articles, tutorials, etc I've found useful.☆19Updated 2 years ago
- Hands-on tutorial on ML Fairness☆72Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)☆46Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 4 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆121Updated 6 years ago
- Code related to different aspects of conformal learning☆16Updated 4 months ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆177Updated 4 years ago
- ☆22Updated 4 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆171Updated last year
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆46Updated 3 weeks ago
- Example of a Cover letter for AI Residency☆80Updated 5 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆26Updated 7 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated last year
- Code used in the causality course (401-4632-15) at ETH Zurich.☆22Updated 6 years ago
- Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2021, UC Berkeley)☆56Updated 3 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 6 years ago
- Summary of useful results in Causal Inference☆20Updated 4 years ago
- ☆187Updated 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…☆34Updated last week
- ☆79Updated 2 years ago
- Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science☆74Updated 2 years ago
- Repository for my Big Data Optimization course☆34Updated 4 years ago