amzn / xfer
Transfer Learning library for Deep Neural Networks.
☆255Updated last year
Alternatives and similar repositories for xfer:
Users that are interested in xfer are comparing it to the libraries listed below
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆184Updated last year
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆178Updated 5 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 6 years ago
- ☆61Updated 2 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- Equi-normalization of Neural Networks☆115Updated 5 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆335Updated 3 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- homura is a library for fast prototyping DL research☆107Updated 2 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 4 years ago
- hessian in pytorch☆187Updated 4 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆91Updated 5 years ago
- ☆134Updated 5 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆250Updated 6 years ago
- ☆219Updated 6 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Hypergradient descent☆145Updated 10 months ago