Peipi98 / Gender_Detection
☆9Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Gender_Detection
- ☆10Updated this week
- A LaTeX Cheat Sheet☆21Updated 9 months ago
- A guide for PhD students by a not so good PhD student☆15Updated 10 months ago
- Python library for evaluating and enhancing model robustness in medical image analysis.☆19Updated 3 months ago
- Official code repository for the paper "Rethinking Model Prototyping through the MedMNIST+ Dataset Collection"☆11Updated 6 months ago
- A framework for studying the best practises for Mahalanobis distance for OOD detection☆12Updated 11 months ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆29Updated 2 weeks ago
- PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)☆60Updated 8 months ago
- Self-Supervised Learning in PyTorch☆130Updated 8 months ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆29Updated last month
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆118Updated 5 months ago
- Official PyTorch implementation of improved B-cos models☆42Updated 8 months ago
- Best Papers of Top Venues like CVPR, NeurIPS, ICLR, ICML, ICCV, ECCV, ...☆75Updated last month
- ☆17Updated 2 months ago
- ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations☆15Updated 7 months ago
- Official code for "Are Vision Language Models Texture or Shape Biased and Can We Steer Them?".☆12Updated 8 months ago
- Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curv…☆13Updated 2 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆105Updated last year
- A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept dat…☆79Updated 7 months ago
- "Fair Federated AI" Summer School, July 19-21, 2024; 16:00 — 19:30 CET time☆11Updated 3 months ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆15Updated 7 months ago
- Notes of the "Big Data architectures and data analytics" course that I attended at Politecnico di Torino during A.Y. 2021/2022☆14Updated 2 years ago
- List of papers that combine self-supervision and continual learning☆60Updated last week
- ☆31Updated 2 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆196Updated 2 years ago
- A repository and benchmark for online test-time adaptation.☆189Updated 3 weeks ago
- Data science lab: process and methods.☆18Updated last month
- Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.☆19Updated 10 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆72Updated 6 months ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆12Updated 10 months ago