Britefury / batchupLinks
Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
☆87Updated 5 years ago
Alternatives and similar repositories for batchup
Users that are interested in batchup are comparing it to the libraries listed below
Sorting:
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 7 years ago
- Cleaned original source code from my NIPS publication☆155Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Reference caffe implementation of LSUV initialization☆113Updated 7 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- ☆69Updated 6 years ago
- A curated list of awesome hyperparameters for deep learning☆78Updated 7 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated 10 months ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆147Updated 5 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago
- Python bindings for pyNVML and psutil library over network☆51Updated last year
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- Deep Learning over PyTorch☆61Updated 7 years ago
- Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU☆48Updated 3 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.☆37Updated 7 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Tools for PyTorch☆222Updated 2 years ago
- train on AWS☆75Updated 6 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆107Updated 2 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 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
- Gumbel-Softmax Variational Autoencoder with Keras☆132Updated 7 years ago