Alternatives and similar repositories for hyperParam1:

Users that are interested in hyperParam1 are comparing it to the libraries listed below

• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• fastai / imagenet-fast
  ☆304Updated 4 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• ducha-aiki / LSUV-pytorch
  Simple implementation of the LSUV initialization in PyTorch
  ☆58Updated last year
• OverLordGoldDragon / keras-adamw
  Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
  ☆168Updated 3 years ago
• ternaus / angiodysplasia-segmentation
  Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization
  ☆78Updated 5 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆126Updated 5 months ago
• cybertronai / imagenet18
  Train ImageNet in 18 minutes on AWS
  ☆129Updated last year
• arunpatala / cifarSOTA
  Reviewing recent advances in classification on CIFAR 10 and 100 datasets
  ☆37Updated 6 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆46Updated 3 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆91Updated 5 years ago
• TheShadow29 / FAI-notes
  Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)
  ☆58Updated 6 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago
• anandsaha / nips.cocob.pytorch
  PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.
  ☆37Updated 6 years ago
• GLambard / AdamW_Keras
  AdamW optimizer for Keras
  ☆115Updated 5 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆241Updated 3 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"
  ☆139Updated 8 years ago
• titu1994 / tf-eager-examples
  A set of simple examples ported from PyTorch for Tensorflow Eager Execution
  ☆73Updated 6 years ago
• lessw2020 / Ranger-Mish-ImageWoof-5
  Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs
  ☆116Updated 5 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• krisrs1128 / Humanitarian-AI
  Weekly humanitarian AI reading group at Mila.
  ☆21Updated 6 years ago
• Tgaaly / pytorch-cheatsheet
  Pytorch Cheatsheet
  ☆90Updated 6 years ago
• anandsaha / pytorch.cyclic.learning.rate
  Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)
  ☆108Updated 6 years ago
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆92Updated 3 years ago
• shaoanlu / AdamW-and-SGDW
  keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)
  ☆71Updated 6 years ago
• FelixAbrahamsson / mixmatch-pytorch
  An implementation of MixMatch with PyTorch
  ☆36Updated 4 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆62Updated 5 years ago
• negrinho / deep_architect
  A general, modular, and programmable architecture search framework
  ☆123Updated 2 years ago
• PPPW / deep-learning-random-explore
  ☆194Updated 5 years ago