Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018
☆15Oct 28, 2019Updated 6 years ago
Alternatives and similar repositories for senn
Users that are interested in senn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [WACV 2024] Instruct Me More! Random Prompting for Visual In-Context Learning☆18May 7, 2025Updated last year
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- ☆20Nov 11, 2019Updated 6 years ago
- Zhusuan with backend Jittor☆15Mar 4, 2022Updated 4 years ago
- Language model using an RNN in PyTorch☆17Jun 3, 2018Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- CatMAE☆15Dec 13, 2023Updated 2 years ago
- Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation☆10Dec 18, 2024Updated last year
- ☆37Jun 10, 2021Updated 5 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆42Sep 17, 2025Updated 11 months ago
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated 2 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Oct 26, 2022Updated 3 years ago
- Code for running experiments and benchmarking on GNNExplainer: Generating Explanations for Graph Neural Networks☆15May 8, 2021Updated 5 years ago
- Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)☆25Mar 6, 2021Updated 5 years ago
- Download kinetics and prepare '.json' annotations for each subset☆20Sep 22, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models (NeurIPS 2024 D&B Track)☆27Mar 6, 2025Updated last year
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆14Aug 27, 2026Updated last week
- Embedding-based evaluation metrics for dialogue generation.☆15Jan 8, 2023Updated 3 years ago
- Flux reconstruction fluid flow solver for 1D PDEs written in Julia. Linear advection, Burgers, viscous Burgers, and Euler equations.☆14Apr 28, 2022Updated 4 years ago
- ☆11Mar 12, 2019Updated 7 years ago
- An awesome list of Causality and Machine Learning related papers, books and other resources.☆12Nov 13, 2023Updated 2 years ago
- Your finetuned model's back to its original safety standards faster than you can say "SafetyLock"!☆11Oct 16, 2024Updated last year
- MetA-Train to Explain☆18Feb 15, 2022Updated 4 years ago
- A simple and elegant jekyll theme for academic personal homepage☆22Oct 17, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆17Apr 3, 2018Updated 8 years ago
- Improving Facade Parsing with Vision Transformers and Line Integration☆25Mar 13, 2024Updated 2 years ago
- ☆12Apr 17, 2024Updated 2 years ago
- All code to download datasets for the three classification case studies, compute SPIs, fit SVMs, and visualise results for pyspi publicat…☆12Aug 14, 2023Updated 3 years ago
- A repository for the query-efficient black-box attack, SignHunter☆23Jan 15, 2020Updated 6 years ago
- Stock prediction using FB Prophet algorithm☆13Dec 8, 2017Updated 8 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Oct 23, 2021Updated 4 years ago
- Code/figures in Right for the Right Reasons☆56Dec 29, 2020Updated 5 years ago
- ☆11Mar 18, 2023Updated 3 years 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.
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Sep 30, 2020Updated 5 years ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆12Apr 7, 2026Updated 5 months ago
- Neuropathic Pain Diagnosis Simulator☆14Jul 6, 2023Updated 3 years ago
- An Elegant Library for Bayesian Deep Learning in PyTorch☆27Dec 19, 2022Updated 3 years ago
- Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).☆19Dec 2, 2020Updated 5 years ago
- Supplementary materials and codes for the paper "Causal Structure Learning Supervised by Large Language Model"☆16Dec 18, 2023Updated 2 years ago
- Minimalist version of probml/rebayes☆10Apr 9, 2026Updated 4 months ago