CogSciPrag / Understanding-LLMs-courseLinks
Repo for webbook and materials of the course "Understanding LLMs" @ Uni Tübingen
☆32Updated 2 months ago
Alternatives and similar repositories for Understanding-LLMs-course
Users that are interested in Understanding-LLMs-course are comparing it to the libraries listed below
Sorting:
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago
- Kaggle Heritage Health Prize Challenge☆19Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆72Updated last year
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆88Updated 2 years ago
- Tools for training explainable models using attribution priors.☆125Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- Code for reproducing figures and results in the paper ``Early stopping in deep networks: Double descent and how to eliminate it''☆15Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92Updated last year
- ☆37Updated 4 years ago
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆263Updated 2 years ago
- Python package for evaluating model calibration in classification☆20Updated 6 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 3 years ago
- This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…☆34Updated 3 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 6 years ago
- ☆135Updated 6 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆71Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆21Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- ☆79Updated 5 years ago
- Extending Conformal Prediction to LLMs☆69Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Collection of snippets for PyTorch users☆25Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago