Alternatives and similar repositories for mlogger

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

• nearai / torchfold
  Tools for PyTorch
  ☆223Updated 3 years ago
• inferno-pytorch / inferno
  A utility library around PyTorch
  ☆244Updated 2 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
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 6 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 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
• koz4k / dni-pytorch
  Decoupled Neural Interfaces using Synthetic Gradients for PyTorch
  ☆238Updated 6 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆158Updated 7 years ago
• alexsax / pytorch-visdom
  Support powerful visual logging in PyTorch.
  ☆103Updated 8 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆288Updated 6 years ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 7 years ago
• bamos / setGPU
  Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
  ☆111Updated 3 years ago
• ClementPinard / Multiple-smi
  Python bindings for pyNVML and psutil library over network
  ☆51Updated last year
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• sanyam5 / arc-pytorch
  The first public PyTorch implementation of Attentive Recurrent Comparators
  ☆146Updated 8 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• diux-dev / ncluster
  ☆37Updated 6 years ago
• mrahtz / tbplot
  Plot TensorBoard graphs fast
  ☆51Updated 4 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 7 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• wookayin / tensorflow-plot
  📈 TensorFlow + Matplotlib as TF ops
  ☆299Updated 6 years ago
• wassname / viz_torch_optim
  Videos of deep learning optimizers moving on 3D problem-landscapes
  ☆107Updated last year
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆91Updated 4 years ago
• ajbrock / FreezeOut
  Accelerate Neural Net Training by Progressively Freezing Layers
  ☆211Updated 7 years ago
• MrGemy95 / visual-interaction-networks-pytorch
  This's an implementation of deepmind Visual Interaction Networks paper using pytorch
  ☆165Updated 7 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
• renmengye / deep-dashboard
  Deep Dashboard: Machine Learning Training Visualizer
  ☆45Updated 8 years ago