bamos / setGPU
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
☆106Updated 2 years ago
Alternatives and similar repositories for setGPU:
Users that are interested in setGPU are comparing it to the libraries listed below
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆125Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- a lightweight and simple logger for Machine Learning☆127Updated 4 years ago
- Python bindings for pyNVML and psutil library over network☆51Updated last year
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 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
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- ☆219Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 7 years ago
- TensorFlow util for building memory usage timeline from LOG_MEMORY messages☆64Updated 7 years ago
- Research code need not be ugly.☆77Updated last year
- ☆36Updated 6 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 7 years ago
- Distributed Learning by Pair-Wise Averaging☆52Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Deep Dashboard: Machine Learning Training Visualizer☆44Updated 8 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Pytorch implementation of DeepMind's differentiable neural computer paper.☆93Updated 7 years ago
- ☆26Updated 6 years ago
- Neural network training using iterated projections.☆89Updated 8 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆185Updated last year