martius-lab / l4-optimizerLinks
Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
☆124Updated 6 years ago
Alternatives and similar repositories for l4-optimizer
Users that are interested in l4-optimizer are comparing it to the libraries listed below
Sorting:
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 6 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 6 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆133Updated 8 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 8 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
- TensorFlow implementation of COCOB☆95Updated 2 years ago
- ☆92Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- DrMAD☆107Updated 7 years ago
- Cleaned original source code from my NIPS publication☆156Updated 7 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated last year
- Accelerate Neural Net Training by Progressively Freezing Layers☆211Updated 7 years ago
- A high-level framework for advanced deep learning with TensorFlow☆54Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆238Updated 6 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆108Updated 2 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
- ☆114Updated last year
- PyTorch based Deep Learning Toolbox☆205Updated 7 years ago
- ☆69Updated 6 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆144Updated 2 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago