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The project aims at developing a locally-weighted conformal prediction algorithm, which can attain meaningful local coverage guarantees in a model-free manner.
EPFL Course - Optimization for Machine Learning - CS-439
Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering
Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)
Methods for online conformal prediction.
Conformal prediction for time-series applications.
A collection of research and application papers of (uncertainty) calibration techniques.
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
List of Computer Science courses with video lectures.
Reinforcement Learning Short Course
The official GitHub page for the survey paper "A Survey of Large Language Models".
📑 Online machine learning resources
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
A library for uncertainty quantification based on PyTorch
A simple way to calibrate your neural network.
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
A repository of links with advice related to grad school applications, research, phd etc
Open CS Application | 开源CS申请
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Notes about courses Dive into Deep Learning by Mu Li
A collection of resources for learning and research.