fredhohman / fredhohman.github.io
☆30Updated this week
Related projects: ⓘ
- Simple method to create notebook-ready visual analytics tools!☆28Updated last year
- FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning☆35Updated 4 months ago
- VisText is a benchmark dataset for semantically rich chart captioning.☆80Updated 11 months ago
- ☆23Updated last year
- Quantification of Uncertainty with Adversarial Models☆27Updated last year
- Official Python client library for the OpenReview API☆143Updated this week
- Testing Language Models for Memorization of Tabular Datasets.☆26Updated last week
- PAIR.withgoogle.com and friend's work on interpretability methods☆138Updated last week
- Conformal Language Modeling☆20Updated 8 months ago
- 🧠 Starter templates for doing interpretability research☆59Updated last year
- PyTorch package to train and audit ML models for Individual Fairness☆63Updated last year
- we got you bro☆32Updated last month
- Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks☆14Updated 2 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆40Updated 2 months ago
- ☆9Updated last year
- ☆43Updated this week
- Library that contains implementations of machine learning components in the hyperbolic space☆127Updated 5 months ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆45Updated last year
- Learning Tree structures and Tree metrics☆22Updated last month
- Unofficial implementation of Conformal Language Modeling by Quach et al☆26Updated last year
- ☆32Updated 9 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated last year
- https://pair.withgoogle.com/explorables/☆59Updated 2 weeks ago
- TopoBenchmarkX is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆65Updated last week
- In which I learn about score functions and how they can be used to generate data.☆14Updated 5 months ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆52Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆57Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆34Updated last year
- Learning to Split for Automatic Bias Detection☆47Updated last year
- 😇A curated list of links and resources for Fair ML and Data Ethics☆18Updated 2 years ago