amzn / xfer
Transfer Learning library for Deep Neural Networks.
☆252Updated last year
Related projects ⓘ
Alternatives and complementary repositories for xfer
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated last year
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆179Updated 4 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆110Updated 5 years ago
- ☆61Updated last year
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 4 years ago
- Hypergradient descent☆138Updated 5 months ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆120Updated 4 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 3 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 4 years ago
- ☆219Updated 6 years ago
- This repository is no longer maintained. Check☆82Updated 4 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆82Updated 5 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 6 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 6 years ago
- Codebase for Learning Invariances in Neural Networks☆94Updated 2 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆177Updated 4 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆104Updated 3 years ago
- The Singular Values of Convolutional Layers☆71Updated 6 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆125Updated 5 years ago
- hessian in pytorch☆186Updated 4 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆138Updated 7 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆242Updated 4 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆246Updated 6 years ago