Alternatives and similar repositories for KerasOneCycle

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

• surmenok / keras_lr_finder
  Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
  ☆258Updated 6 months ago
• titu1994 / keras-one-cycle
  Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
  ☆288Updated 5 years ago
• psklight / keras_one_cycle_clr
  Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.
  ☆47Updated 6 years ago
• WittmannF / LRFinder
  Learning Rate Finder (or LRFinder) Callback for Keras. Implementation as close as possible of FastAI.
  ☆58Updated 6 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆90Updated 6 years ago
• oguiza / fastai_extensions
  Code you can use jointly with fastai
  ☆93Updated 5 years ago
• muellerzr / fastinference
  A collection of inference modules for fastai2
  ☆90Updated 3 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆242Updated 3 years ago
• sergeman / annotated-fastai-notebooks
  Jupyter notebooks of fastai v3 part 2 with links to Youtube video of corresponding lesson
  ☆16Updated 6 years ago
• ai-fast-track / timeseries
  Time Series package for fastai v2
  ☆95Updated 2 years ago
• fg91 / Neural-Image-Caption-Generation-Tutorial
  ☆66Updated 6 years ago
• nestordemeure / fastai-extensions-repository
  A list of extensions for the fastai library.
  ☆160Updated 4 years ago
• gabrielpierobon / cnnshapes
  Visualizing intermediate activation in Convolutional Neural Networks with Keras
  ☆111Updated 7 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆324Updated 3 years ago
• WaterKnight1998 / SemTorch
  ☆162Updated 3 years ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 5 years ago
• CarloLepelaars / ghostnet_tf2
  An implementation of GhostNet for Tensorflow 2.0+ (From the paper "GhostNet: More Features from Cheap Operations")
  ☆38Updated 2 years ago
• render-examples / fastai-v3
  Starter app for fastai v3 model deployment on Render
  ☆218Updated 2 years ago
• PPPW / deep-learning-random-explore
  ☆193Updated 6 years ago
• EtienneT / fastai-petfinder
  Merging image, tabular and text data in a neural network with fastai
  ☆52Updated 2 years ago
• ChristianMarzahl / ObjectDetection
  Some experiments with object detection in PyTorch
  ☆137Updated 5 years ago
• muellerzr / fastai-Experiments-and-tips
  My experiments and progress within various fastai applications
  ☆56Updated 6 years ago
• catalyst-team / segmentation
  Catalyst.Segmentation
  ☆28Updated 4 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆399Updated 5 years ago
• idealo / cnn-exposed
  🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.
  ☆176Updated last year
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year
• mhwilder / tf-keras-gcloud-deployment
  Training and deploying a TensorFlow tf.keras model using Google Cloud ML
  ☆22Updated 7 years ago
• gradsflow / gradsflow-automl
  An open-source AutoML Library based on PyTorch
  ☆308Updated 2 months ago
• FasterAI-Labs / fasterai
  FasterAI: Prune and Distill your models with FastAI and PyTorch
  ☆250Updated 2 months ago