Alternatives and similar repositories for setGPU:

Users that are interested in setGPU are comparing it to the libraries listed below

• renmengye / tensorflow-forward-ad
  Forward-mode Automatic Differentiation for TensorFlow
  ☆141Updated 7 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆125Updated 5 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 6 years ago
• oval-group / mlogger
  a lightweight and simple logger for Machine Learning
  ☆127Updated 4 years ago
• ClementPinard / Multiple-smi
  Python bindings for pyNVML and psutil library over network
  ☆51Updated last year
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆139Updated 4 years ago
• akosiorek / attend_infer_repeat
  A Tensorfflow implementation of Attend, Infer, Repeat
  ☆81Updated 6 years ago
• MycChiu / fast-LayerNorm-TF
  Efficient layer normalization GPU kernel for Tensorflow
  ☆110Updated 7 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 7 years ago
• inferno-pytorch / speedrun
  Research code need not be ugly.
  ☆77Updated last year
• Bonnevie / rebar
  A Python implementation of the gradient REBAR estimator.
  ☆46Updated 6 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 6 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 8 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• runopti / Learning-To-Learn
  TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"
  ☆84Updated 7 years ago
• koz4k / dni-pytorch
  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
  ☆237Updated 6 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 5 years ago
• diux-dev / ncluster
  ☆36Updated 5 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• Kaixhin / nninit
  Weight initialisation schemes for Torch7 neural network modules
  ☆100Updated 7 years ago
• amujika / Fast-Slow-LSTM
  ☆92Updated 7 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• eladhoffer / bigBatch
  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
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 7 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆109Updated 7 years ago
• inferno-pytorch / inferno
  A utility library around PyTorch
  ☆244Updated 2 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆102Updated 7 years ago