Official GitHub for the paper "Labeling Neural Representations with Inverse Recognition"
☆10Dec 3, 2025Updated 10 months ago
Alternatives and similar repositories for invert
Users that are interested in invert are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆21Jan 28, 2026Updated 8 months ago
- [NeurIPS XAIA & Springer] Code and notebooks to paper "A Fresh Look at Sanity Checks for Saliency Maps"☆25Jul 12, 2024Updated 2 years ago
- [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks☆14May 2, 2025Updated last year
- NoiseGrad (and its extension NoiseGrad++) is a method to enhance explanations of artificial neural networks by adding noise to model weig…☆22May 11, 2023Updated 3 years ago
- Prototypical Concept-based Explanations, accepted at SAIAD workshop at CVPR 2024.☆17Aug 30, 2026Updated last month
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- PyPI package for DualXDA for efficient data attribution and feature-level explanations of training data influence☆22Mar 6, 2026Updated 7 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆46Apr 17, 2024Updated 2 years ago
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆26Jun 26, 2023Updated 3 years ago
- The Pytorch implementation for "GraphMDN: Leveraging graph structure and deep learning to solve inverse problems" (IJCNN 2021).☆18Jul 26, 2021Updated 5 years ago
- GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Netwo…☆28Apr 23, 2026Updated 5 months ago
- Minimal, standalone library for solving GLMs in PyTorch☆27Nov 18, 2021Updated 4 years ago
- [CVPR 2025] Concept Bottleneck Autoencoder (CB-AE) -- efficiently transform any pretrained (black-box) image generative model into an int…☆21Jul 13, 2026Updated 3 months ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆65Nov 6, 2023Updated 2 years ago
- ☆16Oct 1, 2026Updated 2 weeks ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12Jul 16, 2023Updated 3 years ago
- Tools for robustness evaluation in interpretability methods☆10Jun 25, 2021Updated 5 years ago
- Source codes of Learning Causal Representations for Robust Domain Adaptation (IEEE TKDE)☆12Feb 14, 2022Updated 4 years ago
- Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…☆20Aug 30, 2026Updated last month
- Optimized Utilities for PyTorch☆26Jan 19, 2020Updated 6 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆15Oct 28, 2019Updated 6 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆61Sep 30, 2026Updated 2 weeks ago
- View.viewScope is a CoroutineScope tied to a View. This scope will be canceled when the view is detached from a window.☆20Apr 27, 2020Updated 6 years ago
- ☆12Feb 29, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official Repository of Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories☆118Oct 11, 2026Updated last week
- Minimal (truly) muP implementation, consistent with TP4 and TP5 papers notation☆14Jan 2, 2026Updated 9 months ago
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Jan 17, 2024Updated 2 years ago
- Python wrapper for the EDDL library.☆13Jun 14, 2022Updated 4 years ago
- Square's specific extensions for Metro to make dependency injection easier.☆24Jul 30, 2026Updated 2 months ago
- Pruning is all you need (hopefully)☆12Sep 7, 2022Updated 4 years ago
- Prototype implementation of a Kotlin IR based generator for java.util.ServiceLoader-style service providers☆29Sep 28, 2026Updated 2 weeks ago
- A Kotlin compiler plugin built on Metro to simplify DI setup☆34Updated this week
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆33Jan 21, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "Data Attribution for Text-to-Image Models by Unlearning Synthesized Images."☆17May 23, 2025Updated last year
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Jan 12, 2024Updated 2 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆15Jul 25, 2023Updated 3 years ago
- Code for Tangent Model Composition for Ensembling and Continual Fine-tuning (ICCV 2023) and Tangent Transformers for Composition, Privacy…☆14May 14, 2024Updated 2 years ago
- Notebooks for Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations☆14Oct 3, 2019Updated 7 years ago
- ☆13Oct 14, 2025Updated last year
- ☆12Jul 30, 2025Updated last year