phlippe / saved_models
Stores the saved models of the UvA-DLC notebooks
☆24Updated 2 years ago
Alternatives and similar repositories for saved_models:
Users that are interested in saved_models are comparing it to the libraries listed below
- Implementation of calibrated precision and calibrated metrics☆13Updated 5 years ago
- The most parameter efficient machine learning models on a few popular benchmarks☆42Updated 2 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- ☆37Updated 3 years ago
- Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling☆28Updated last year
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Updated last year
- ☆12Updated 3 years ago
- ☆13Updated last year
- AutoML Two-Sample Test☆19Updated 2 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 7 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Prune your sklearn models☆19Updated 5 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Experimental version of jxbz/agd implementing support for bias terms, affine parameters, transformers, etc.☆11Updated last year
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆18Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 6 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆44Updated 2 years ago
- ☆30Updated 3 years ago
- MinHash implementation in Python☆11Updated 8 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆64Updated 2 years ago
- Companion code for a tutorial on using Hydra.☆29Updated 3 years ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆38Updated 3 years ago
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- SPEAR: Programmatically label and build training data quickly.☆106Updated 10 months ago
- Repository for my master thesis on automated string handling☆16Updated 3 years ago
- Visual Clustering: Clustering Plotted Data by Image Segmentation☆24Updated 2 months ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Updated 4 years ago
- Cross-field empirical trends analysis of XAI literature☆20Updated last year
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Causing: CAUsal INterpretation using Graphs☆57Updated 2 weeks ago