uber-research / intrinsic-dimension
☆219Updated 6 years ago
Alternatives and similar repositories for intrinsic-dimension:
Users that are interested in intrinsic-dimension are comparing it to the libraries listed below
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆236Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 4 years ago
- 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
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆147Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆141Updated 6 years ago
- ☆132Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 6 years ago
- ICLR Reproducibility Challenge 2019☆220Updated 5 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆144Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆125Updated 5 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆177Updated 4 years ago
- Cleaned original source code from my NIPS publication☆154Updated 7 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
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 4 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆106Updated 2 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆245Updated 6 years ago
- VQ-VAE implementation / pytorch☆180Updated 7 years ago
- Support powerful visual logging in PyTorch.☆102Updated 7 years ago
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- The Singular Values of Convolutional Layers☆71Updated 6 years ago