Alternatives and similar repositories for superkeras

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

• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆161Updated last year
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆60Updated 7 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year
• oborchers / Medium_Repo
  This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly…
  ☆52Updated 4 years ago
• NLeSC / mcfly-tutorial
  tutorial for mcfly repository
  ☆79Updated 2 years ago
• distillpub / post--memorization-in-rnns
  Visualizing memorization in RNNs
  ☆66Updated 5 years ago
• dhuynh95 / fastai_autoencoder
  ☆12Updated 5 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• ypeleg / MinimalIsAllYouNeed
  <In Development> Transformers for Keras that support sklearn's .fit .predict .
  ☆30Updated 5 years ago
• HazyResearch / snorkel-superglue
  Applying Snorkel to SuperGLUE
  ☆26Updated 6 years ago
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆54Updated 3 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• gevaertlab / DAPL
  Autoencoder network for imputing missing values
  ☆27Updated 6 years ago
• Santosh-Gupta / Research2Vec
  Representing research papers as vectors / latent representations.
  ☆198Updated 4 years ago
• PGM-Lab / InferPy
  InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
  ☆148Updated last year
• neptune-ai / neptune-contrib
  This library is a location of the LegacyLogger for PyTorch Lightning.
  ☆26Updated 5 months ago
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆122Updated last year
• ArtificialIntelligenceToolkit / conx
  The On-Ramp to Deep Learning
  ☆96Updated last year
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 6 years ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆132Updated 5 years ago
• PiotrekGa / pruned-cv
  Machine Learning package allowing faster cross-validation
  ☆18Updated 6 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• titu1994 / tf_fourier_features
  Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.
  ☆44Updated 5 years ago
• nextml / NEXT
  NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…
  ☆163Updated last year
• MLWave / koolmogorov
  Koolmogorov is a Python library based on CompLearn
  ☆70Updated 8 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 4 years ago
• ciortanmadalina / high_noise_clustering
  Techniques to cluster very noisy data (dropouts or random noise)
  ☆66Updated 6 years ago
• drcandacemakedamoore / cleanX
  Python library for exploring, cleaning, normalizing, and augmenting large datasets of radiological data.
  ☆25Updated 3 years ago