python ssh free download

Showing 5 open source projects for "python ssh"

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1

lightning AI

The most intuitive, flexible, way for researchers to build models

... cluster. Find templates (Lightning Apps), modify them and publish your own. Lightning Apps can even be full standalone ML products! Run on your laptop for free! Download the code and type 'lightning run app'. Feel free to ssh into any machine and run from there as well. In research, we often have multiple separate scripts to train models, finetune them, collect results and more.

Downloads: 3 This Week

Last Update: 2025-06-20
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2

Genv

GPU environment management and cluster orchestration

Genv is an open-source environment and cluster management system for GPUs. Genv lets you easily control, configure, monitor and enforce the GPU resources that you are using in a GPU machine or cluster. It is intended to ease up the process of GPU allocation for data scientists without code changes.

Downloads: 0 This Week

Last Update: 2024-05-16
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3

Guild AI

Experiment tracking, ML developer tools

... straightforward commands, eliminating the need for complex trial setups. It also supports the automation of pipelines, accelerating model development, reducing errors, and providing measurable results. The toolkit is platform-agnostic, running on all major operating systems and integrating seamlessly with existing software engineering tools. Guild AI supports various remote storage types, including Amazon S3, Google Cloud Storage, Azure Blob Storage, and SSH servers.

Downloads: 0 This Week

Last Update: 2024-11-13
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4

gpt-j-api

API for the GPT-J language mode. Including a FastAPI backend

An API to interact with the GPT-J language model and variants! You can use and test the model in two different ways. These are the endpoints of the public API and require no authentication. Just SSH into a TPU VM. This code was tested on both the v2-8 and v3-8 variants.

Downloads: 0 This Week

Last Update: 2023-03-23
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5

ML workspace

All-in-one web-based IDE specialized for machine learning

... configured, optimized, and integrated. Usable as remote kernel (Jupyter) or remote machine (VS Code) via SSH. Easy to deploy on Mac, Linux, and Windows via Docker. Jupyter, JupyterLab, and Visual Studio Code web-based IDEs.By default, the workspace container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler allows.

Downloads: 1 This Week

Last Update: 2022-07-12
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