Alternatives and similar repositories for swish-activation

Users that are interested in swish-activation are comparing it to the libraries listed below

• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 7 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• aerdem4 / kaggle-plasticc
  Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
  ☆51Updated 6 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• amiyapatanaik / tensorflow-serving-docker-image
  Production Ready Docker Container for TensorFlow Serving
  ☆17Updated 7 years ago
• GokuMohandas / the-neural-perspective
  📓 Notes from The Neural Perspective (discontinued) blog.
  ☆83Updated 7 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 6 years ago
• mpekalski / Y8M
  Solution to the Kaggle's competition Google Cloud & YouTube-8M Video Understanding Challenge
  ☆32Updated 8 years ago
• robinniesert / kaggle-champs
  Code for the CHAMPS Predicting Molecular Properties Kaggle competition
  ☆52Updated 5 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 7 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• jfpuget / Kaggle_PLAsTiCC
  Part of our solution to PLAsTiCC Kaggle challenge
  ☆18Updated 6 years ago
• svishnu88 / TGS-SaltNet
  Kaggle | 21st place solution for TGS Salt Identification Challenge
  ☆84Updated 6 years ago
• llSourcell / Neural_Arithmetic_Logic_Units
  This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
  ☆91Updated 7 years ago
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆135Updated 7 years ago
• titu1994 / keras_rectified_adam
  Implementation of Rectified Adam in Keras
  ☆70Updated 5 years ago
• llSourcell / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆16Updated 6 years ago
• deep-learning-indaba / indaba-2018
  Practical Notebooks for the Deep Learning Indaba 2018
  ☆145Updated 6 years ago
• jayinai / kaggle-image
  A compiled list of kaggle competitions and their winning solutions for image problems.
  ☆53Updated 9 years ago
• fediazgon / pbt-keras
  Population Based Training of Neural Network implemented in Keras
  ☆35Updated 2 years ago
• sermakarevich / jigsaw-toxic-comment-classification-challenge
  ☆46Updated 2 years ago
• rasbt / mytorch
  Collection of PyTorch-related utility functions
  ☆29Updated 6 years ago
• godardt / torchlite
  A high level library on top of machine learning frameworks
  ☆31Updated 2 years ago
• MaxHalford / kaggle-vsb-power
  13th place solution
  ☆31Updated 2 years ago
• tnmichael309 / Kaggle-Santander-Customer-Transaction-Prediction-5th-Place-Partial-Solution
  Kaggle Competition notebooks
  ☆34Updated 6 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆26Updated 6 years ago
• kevindewalt / ai-notebooks
  ☆63Updated 7 years ago
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆67Updated 8 years ago