notebooks
ML notebook kit
A runtime environment for machine learning via Jupyter notebooks.
A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:
32 stars
4 watching
6 forks
Language: Dockerfile
last commit: about 1 year ago
Linked from 1 awesome list
data-sciencedeep-learningdockerdocker-imagegpu-computinggpu-readyjupyterjupyter-notebookmachine-learningnotebookpythonpytorchscikit-learnstarter-kittensorboardtensorflow
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ogrisel/notebooks | A collection of incomplete machine learning experiments in Jupyter Notebooks | 566 |
 ml-tooling/ml-workspace | An all-in-one web-based IDE for machine learning and data science | 3,446 |
 ardanlabs/training-ai | Provides training materials and tools for building machine learning applications | 72 |
 matifali/dockerdl | A Docker image for deep learning environments with pre-installed packages and tools | 78 |
| ogrisel/parallel_ml_tutorial | A tutorial on parallel machine learning with scikit-learn and IPython | 1,593 |
 visenger/handson-ml | Teaches Machine Learning fundamentals in Python using Scikit-Learn and TensorFlow | 5 |
 shanky-21/machine_learning | A collection of machine learning techniques taught through interactive Jupyter Notebooks | 29 |
 hardmaru/pytorch_notebooks | A collection of tutorial notebooks focused on building and training neural networks using PyTorch. | 386 |
 differential-machine-learning/notebooks | Differential machine learning implementation and demonstration notebooks | 138 |
 yandex/rep | A toolset for building and running reproducible machine learning experiments in Python | 689 |
 trekhleb/machine-learning-experiments | An interactive platform for exploring and comparing various machine learning algorithms and techniques using visualizations and example code. | 1,667 |
 gmonce/scikit-learn-book | Source code and data for a machine learning book with Python tutorials | 393 |
 sayakpaul/adventures-in-tensorflow-lite | A collection of notebooks demonstrating various techniques for optimizing and quantizing neural networks using TensorFlow Lite | 172 |
 johnstonskj/rml-core | A Racket module for managing machine learning datasets and providing interfaces to various classification algorithms. | 13 |
 jhashanti/machine-learning-with-r | A comprehensive R package providing tools and techniques for building machine learning models in supervised learning. | 9 |