python-machine-learning-book
ML-Workspace
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| python-machine-learning-book | ML-Workspace | |
|---|---|---|
| 2 | 7 | |
| 12,076 | 3,324 | |
| - | 1.1% | |
| 0.0 | 2.7 | |
| over 1 year ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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python-machine-learning-book
- Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E]
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What is the purpose of meshgrid in Python / NumPy?
I am studying "Python Machine Learning" from Sebastian Raschka, and he is using it for plotting the decision borders. See input 11 here.
ML-Workspace
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[D] I recently quit my job to start a ML company. Would really appreciate feedback on what we're working on.
Also check out: https://github.com/ml-tooling/ml-workspace, it a nice open source project with lots of packages ready to use.
- ML-Workspace
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Coding for machine learning on Tab S8?
The other option - no reason why you couldn't host something on the desktop machine - web based IDE like R-Studio or Python - have a look at ml-workspace - https://github.com/ml-tooling/ml-workspace that runs in Docker and would provide interfaces for both Python and R, VSCode as well as a GPU accelerated variant for doing Tensorflow etc - either Windows or Linux can support Docker containers (Linux is less trouble apparently - I only have played with it in Linux personally)
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Dynamically spin up VM (based on specific HTTPS request) and stop it once session is over?
It will be a web based IDE dev kit (like Jupyter Hub, or JupyterLab) if you are familiar with them)
- All-in-One Docker Based IDE for Data Science and ML
- Visual Studio Code now available as Web based editor for GitHub repos
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[P] Install or update CUDA, NVIDIA Drivers, Pytorch, Tensorflow, and CuDNN with a single command: Lambda Stack
I'll stick with https://github.com/ml-tooling/ml-workspace, is a docker with all tools installed, also the option of using GPU, so I think is better than only for debian. This way anyone can use it.
What are some alternatives?
Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
JupyterLab - JupyterLab computational environment.
artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
Gitpod - DEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm
Neural-Network-Steganography - Hide some secret 😎 data in a Neural Network - text, malicious software or watermark your NN
keytotext - Keywords to Sentences
MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.
self-hosted - Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Code-Server - VS Code in the browser
weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights
cocalc-docker - DEPRECATED (was -- Docker setup for running CoCalc as downloadable software on your own computer)