Alternatives and similar repositories for keras-tutorial-odsc2020

Users that are interested in keras-tutorial-odsc2020 are comparing it to the libraries listed below

• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆103Updated 3 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 5 years ago
• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆42Updated 5 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• FBosler / Medium-Data-Exploration
  Data and Notebook for medium blog post
  ☆20Updated 6 years ago
• tchambon / LabelMyTextWidget
  Jupyter notebook widget to quickly label text data
  ☆47Updated 6 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆32Updated 4 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• dirty-data-science / python
  Tutorial material on machine learning with dirty data in Python
  ☆61Updated last year
• omarsar / clinical_nlp_elastic
  Clinical NLP Analysis with Elasticsearch and Kibana
  ☆35Updated 6 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆110Updated 3 years ago
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆59Updated 5 years ago
• balavenkatesh3322 / model_deployment
  A collection of model deployment library and technique.
  ☆72Updated 5 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 5 months ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• paris-saclay-cds / data-science-workshop-2019
  ☆29Updated 5 years ago
• jrzaurin / nlp-stuff
  A bit of everything about text and nlp [IN PROGRESS]
  ☆28Updated 3 years ago
• garretthoffman / AI_Conf_2019_DL_4_NLP
  Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
  ☆27Updated 6 years ago
• M-68 / ActivationFunctions
  Implementing activation functions from scratch in Tensorflow.
  ☆36Updated 3 years ago