Alternatives and similar repositories for viz_torch_optim

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

• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 6 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• jiamings / cramer-gan
  Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
  ☆125Updated 7 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆157Updated 7 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 8 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆146Updated 6 years ago
• singlasahil14 / sortpool2d
  A new kind of pooling layer for faster and sharper convergence
  ☆76Updated 8 years ago
• soravux / pytorch_tutorial
  Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
  ☆109Updated 6 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• pumpikano / tf-magnet-loss
  Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"
  ☆94Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• ajbrock / FreezeOut
  Accelerate Neural Net Training by Progressively Freezing Layers
  ☆211Updated 7 years ago
• ahirner / pytorch-retraining
  Transfer Learning Shootout for PyTorch's model zoo (torchvision)
  ☆169Updated 5 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• sanyam5 / arc-pytorch
  The first public PyTorch implementation of Attentive Recurrent Comparators
  ☆146Updated 8 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆95Updated 8 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆106Updated 7 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• jalola / compare-tensorflow-pytorch
  Compare outputs between layers written in Tensorflow and layers written in Pytorch
  ☆72Updated 7 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 3 years ago
• XavierLinNow / deepdream_pytorch
  ☆45Updated 8 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 8 years ago
• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 5 years ago
• dmarnerides / pydlt
  PyTorch based Deep Learning Toolbox
  ☆205Updated 7 years ago
• keskarnitish / large-batch-training
  Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
  ☆145Updated 8 years ago
• oval-group / mlogger
  a lightweight and simple logger for Machine Learning
  ☆127Updated 4 years ago
• tolstikhin / adagan
  AdaGAN: greedy iterative procedure to train mixtures of GANs
  ☆78Updated 7 years ago