Alternatives and similar repositories for dask-mini-tutorial

Users that are interested in dask-mini-tutorial are comparing it to the libraries listed below

• Klalena / AWS-Serverless-Data-Engineering-Pipeline
  This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…
  ☆19Updated 4 years ago
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆81Updated 2 years ago
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆74Updated 3 weeks ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆116Updated 2 years ago
• aws-samples / amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
  Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
  ☆73Updated 4 years ago
• saturncloud / workshop-dask-pytorch
  Introduction to Dask for PyTorch Workflows
  ☆13Updated 4 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 7 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 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
• dmatrix / mlflow-workshop-part-3
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…
  ☆35Updated 5 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 7 months ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• awesome-panel / awesome-panel-lightning
  ☆21Updated 3 years ago
• hugobowne / deep-learning-from-scratch-pytorch
  Deep Learning from Scratch with PyTorch
  ☆120Updated 5 years ago
• fastai / docker-containers
  Docker images for fastai
  ☆179Updated 3 years ago
• karthikraja95 / fsdl_deforestation_detection
  ☆39Updated 2 years ago
• rapidsai / cloud-ml-examples
  A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
  ☆142Updated 10 months ago
• sicara / dvc-streamlit-example
  Dvc + Streamlit = ❤️
  ☆40Updated last year
• thejat / mlops-notebooks
  ☆66Updated 4 months ago
• Quansight / scipy-2019-rapids-tutorial
  Materials for the SciPy 2019 RAPIDS tutorial
  ☆22Updated 6 years ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 years ago
• tchambon / Tensorboard-in-Fastai
  How to use tensorboard in fastai
  ☆21Updated 6 years ago
• tcapelle / fastai_timm
  Exploring fastai and timm integration for model finetune
  ☆23Updated 2 years ago
• hamelsmu / wandb-cicd
  ☆48Updated last year
• mattharrison / Tiny-Python-3.10-Notebook
  This repository contains the text for the Tiny Python 3.10 Notebook.
  ☆68Updated 3 years ago
• aletheia / mnist_pl_sagemaker
  MNIST classifier implementation with PyTorch Lightning on Amazon SageMaker
  ☆24Updated 2 years ago
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆59Updated this week
• Zainali5 / PyRapidML
  PyRapidML is an open source Python library which not only helps in automating Machine Learning Workflows but also helps in building end t…
  ☆14Updated 4 years ago
• aliabd / fastgradio
  Build fast gradio demos of fastai learners
  ☆35Updated 3 years ago
• sejalv / serverless-ml-workshop
  Deployment of ML models with Serverless APIs (AWS Lambda) and Docker
  ☆25Updated 4 years ago