leonardblier / alrao
Implementation of "Learning with Random Learning Rates" in PyTorch.
☆102Updated 5 years ago
Alternatives and similar repositories for alrao:
Users that are interested in alrao are comparing it to the libraries listed below
- Odds and Ends and Things I've implemented.☆78Updated 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
- An implementation of shampoo☆74Updated 7 years ago
- ☆36Updated 5 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆184Updated last year
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆125Updated 5 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Cleaned original source code from my NIPS publication☆154Updated 7 years ago
- Plot TensorBoard graphs fast☆51Updated 3 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 7 years ago
- Second-order optimiser for deep networks☆76Updated 6 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
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆141Updated 7 years ago
- ☆79Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- ☆133Updated 7 years ago
- ☆219Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Equi-normalization of Neural Networks☆115Updated 5 years ago
- Support powerful visual logging in PyTorch.☆102Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆147Updated 7 years ago