torrvision / focal_calibrationLinks
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
☆161Updated last year
Alternatives and similar repositories for focal_calibration
Users that are interested in focal_calibration are comparing it to the libraries listed below
Sorting:
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- NumPy library for calibration metrics☆73Updated 3 months ago
- Reliability diagrams visualize whether a classifier model needs calibration☆151Updated 3 years ago
- Calibration of Convolutional Neural Networks☆166Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆150Updated 2 years ago
- ☆66Updated 5 years ago
- Implementation of Barlow Twins paper☆99Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆231Updated 3 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- Combating hidden stratification with GEORGE☆63Updated 4 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆22Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Updated last year
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 4 years ago
- ☆58Updated 3 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- An implementation of the BADGE batch active learning algorithm.☆207Updated last year
- Original dataset release for CIFAR-10H☆83Updated 4 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆152Updated 2 years ago
- Estimating Example Difficulty using Variance of Gradients☆63Updated 2 years ago
- ☆109Updated 2 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆128Updated last year