Alternatives and similar repositories for keras-balanced-batch-generator

Users that are interested in keras-balanced-batch-generator are comparing it to the libraries listed below

• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 8 months ago
• Raschka-research-group / corn-ordinal-neuralnet
  Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
  ☆27Updated 3 years ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 3 years ago
• bgbg / datascience_dataviz_workshop
  Data visualization workshop
  ☆11Updated 5 years ago
• JovianHQ / fastai_slack
  Get Slack notifications while training FastAI models
  ☆13Updated 6 years ago
• henripal / maps
  fun with satellite images of cities
  ☆41Updated 6 years ago
• saturncloud / dask-pytorch-ddp
  dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
  ☆59Updated 4 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• nickb- / tensorflow-probability-100days
  100 Days of Experimenting with TensorFlow Probability
  ☆39Updated 5 years ago
• UBC-MDS / RegscorePy
  This is the repo for a python package that does model comparison between different regression models.
  ☆22Updated 7 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆27Updated 5 years ago
• ck37 / coral-ordinal
  Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
  ☆81Updated 3 weeks ago
• josephsdavid / N2D
  Library implementation of https://arxiv.org/abs/1908.05968v5
  ☆23Updated 5 years ago
• L-Lewis / Predicting-traffic-accidents-CNN
  ☆37Updated 4 years ago
• tchambon / Tensorboard-in-Fastai
  How to use tensorboard in fastai
  ☆21Updated 6 years ago
• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 3 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• ljvmiranda921 / vs-split
  A Python library for creating adversarial splits
  ☆14Updated 3 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• nyuvis / partial_dependence
  Python package to visualize and cluster partial dependence.
  ☆28Updated 3 years ago
• rasbt / datapipes-blog
  Code for the DataPipes article
  ☆16Updated 3 years ago
• ypeleg / MinimalIsAllYouNeed
  <In Development> Transformers for Keras that support sklearn's .fit .predict .
  ☆30Updated 5 years ago
• benmack / oneClass
  One-class classification in the absence of test data.
  ☆31Updated 4 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 4 years ago
• JonnoFTW / keras_find_lr_on_plateau
  Keras Callback to Automatically Adjust the learning rate when it stops improving
  ☆16Updated 6 years ago
• giotto-ai / tutorial_mapper
  ☆13Updated 5 years ago
• mwalmsley / galaxy-poster
  Show ML predictions w/ Streamlit
  ☆12Updated last year
• mmortazavi / UMAP_Nonlinear-Dimensionality-Reduction_Benchmark
  A primer to Uniform Manifold Approximation and Projection (UMAP)
  ☆15Updated 7 years ago
• pjh2011 / rf_perm_feat_import
  ☆14Updated 8 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago