loshchil / SGDRLinks
☆252Updated 8 years ago
Alternatives and similar repositories for SGDR
Users that are interested in SGDR are comparing it to the libraries listed below
Sorting:
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆295Updated 6 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆144Updated 8 years ago
- Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"☆191Updated 7 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆277Updated 6 years ago
- Accelerate Neural Net Training by Progressively Freezing Layers☆211Updated 6 years ago
- Reference caffe implementation of LSUV initialization☆114Updated 7 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- ☆138Updated 8 years ago
- Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).☆131Updated 7 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 7 years ago
- Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Netw…☆364Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"☆361Updated 7 years ago
- ☆219Updated 7 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- 📈 TensorFlow + Matplotlib as TF ops☆299Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆145Updated 8 years ago
- Spatially Adaptive Computation Time for Residual Networks☆247Updated 2 years ago
- Fast Scattering Transform with CuPy/PyTorch☆296Updated 5 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 5 years ago
- Examples of C extensions for PyTorch☆256Updated 2 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago