Alternatives and similar repositories for Dask-analytics-ML

Users that are interested in Dask-analytics-ML are comparing it to the libraries listed below

• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• jacobceles / intro-to-colab-pyspark-emr
  A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …
  ☆20Updated 4 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• roshankoirala / pySpark_tutorial
  Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple …
  ☆30Updated 5 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated 2 years ago
• mathangpeddi / Laptop-Prices-Predictor
  Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…
  ☆14Updated last year
• srivatsan88 / google_cloud_notebooks
  ☆13Updated 5 years ago
• nicknochnack / WatsonPlanningAnalytics
  An end-to-end model for using and deploying Watson Machine Learning and Planning Analytics!
  ☆13Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• tirthajyoti / Stats_data_science_ValleyML
  Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"
  ☆10Updated 6 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 3 years ago
• Quansight / scipy-2019-rapids-tutorial
  Materials for the SciPy 2019 RAPIDS tutorial
  ☆22Updated 6 years ago
• tirthajyoti / TensorFlow_Basics
  Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …
  ☆35Updated 6 years ago
• brainy749 / CreditRiskPaper
  Codes for replication and implementation of techniques in our credit risk article
  ☆34Updated 6 years ago
• eugeneyan / poc-docker-template
  Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
  ☆23Updated last year
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 3 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• ashishpatel26 / MLFlow-End-to-End-Workshop-at-Chandigarh-University
  MLFlow End to End Workshop at Chandigarh University
  ☆11Updated 2 years ago
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 5 years ago
• AISCIENCES / course-nlp
  Natural Language Processing
  ☆11Updated 4 years ago
• rashida048 / Some-NLP-Projects
  ☆14Updated 4 years ago
• UmarIgan / Machine-Learning
  A set of jupyter notebooks
  ☆27Updated last year
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 4 years ago
• sicara / pycon-2022-dvc-streamlit
  PyCon Talks 2022 by Antoine Toubhans
  ☆23Updated 3 years ago