Alternatives and similar repositories for deepreplay:

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

• idealo / cnn-exposed
  🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.
  ☆177Updated 2 months ago
• chaserileyroberts / mltest
  Testing framework to simplify writing ML unit tests.
  ☆348Updated 5 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆705Updated 4 years ago
• Vooban / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆144Updated 2 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆333Updated 3 years ago
• netrack / keras-metrics
  Metrics for Keras. DEPRECATED since Keras 2.3.0
  ☆164Updated 3 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆173Updated last year
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆106Updated 6 years ago
• ModelChimp / modelchimp
  Experiment tracking for machine and deep learning projects
  ☆127Updated last year
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆175Updated 3 years ago
• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆380Updated 2 years ago
• hiranumn / IntegratedGradients
  Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defin…
  ☆218Updated 6 years ago
• KeremTurgutlu / deeplearning
  ☆160Updated 6 years ago
• bstriner / keras-tqdm
  Keras integration with TQDM progress bars
  ☆345Updated 3 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 6 years ago
• zurutech / gans-from-theory-to-production
  Material for the tutorial: "Deep Diving into GANs: from theory to production"
  ☆206Updated last year
• radekosmulski / quickdraw
  ☆168Updated 6 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆851Updated last year
• amarasovic / interpretability-literature
  ☆264Updated 5 years ago
• fastai / fastai_old
  OLD REPO - PLEASE USE fastai/fastai
  ☆180Updated 2 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆91Updated 5 years ago
• surmenok / keras_lr_finder
  Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
  ☆255Updated 4 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 4 years ago
• mjdietzx / GAN-Sandbox
  Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of s…
  ☆220Updated 7 years ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆571Updated 3 months ago