SeptivianaSavitri / adl_pythonLinks
This is the implementation of Autonomous Deep Learning on python
☆12Updated 5 years ago
Alternatives and similar repositories for adl_python
Users that are interested in adl_python are comparing it to the libraries listed below
Sorting:
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆61Updated 2 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆206Updated 3 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning☆34Updated 3 years ago
- Continual Learning in Recurrent Neural Networks☆37Updated 4 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 8 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Demo code for the MDAN paper.☆126Updated 5 years ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Updated 3 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆20Updated 6 years ago
- ☆37Updated 4 years ago
- A benchmark for distribution shift in tabular data☆57Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆44Updated 7 years ago
- Joint distribution optimal transportation for domain adaptation☆104Updated 8 years ago
- A pytorch implementation of mpvae.☆13Updated 5 years ago
- Library of transfer learners and domain-adaptive classifiers.☆93Updated 6 years ago
- ☆239Updated 5 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆137Updated 2 years ago
- Implementation of Minimax Pareto Fairness framework☆22Updated 5 years ago
- [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题☆111Updated last year
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Updated 6 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆23Updated 6 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago