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Deployment

The general deployment process consists of several interrelated activities with possible transitions between them. These activities can occur at the producer side or at the consumer side or both.

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This is the official PyTorch implementation of "LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models", and also an efficient LLM compression tool with various advanced compression methods, supporting multiple inference backends.

  • Updated Jun 12, 2024
  • Python

Incometric predicts income using machine learning on demographic and socio-economic data. It involves data preprocessing, feature engineering, model training, evaluation, and deployment. This tool aids financial planning and policy-making, offering accurate predictions through a web application and API.

  • Updated Jun 12, 2024
  • Jupyter Notebook
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Related Topics

cicd continuous-deployment release-automation

Deployment apps

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Manage and automate Github Deployments across repos and organizations

Buddy

One-click delivery automation for Web Developers

Flaptastic

Manage flaky unit tests. Click a checkbox to instantly disable any test on all branches. Works with your current test suite

Codefresh

A modern container-based CI/CD platform, easily assemble and run pipelines with high performance

Azure Pipelines

Continuously build, test, and deploy to any platform and cloud

PR Scheduler

Lets developers schedule PRs to be merged at a specific date/time. Useful for scheduling posts on static blog frameworks

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