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michaelgsharp merged 3 commits into from
Nov 28, 2022
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2023 roadmap outline #6444

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2023 roadmap outline
luisquintanilla Nov 9, 2022
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luisquintanilla Nov 9, 2022
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luisquintanilla Nov 10, 2022
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17 changes: 17 additions & 0 deletions ROADMAP.md
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Expand Up @@ -4,6 +4,23 @@ The goal of ML.NET is to democratize machine learning for .NET developers. This

To see the plans for ML.NET tooling, check out the [Model Builder repo](https://github.com/dotnet/machinelearning-modelbuilder/issues/1707).

## Goals through November 2023

- Keep docs, samples, and repo up to date.
- Deep learning
- Make it easier to consume ONNX models in ML.NET
- More NLP / CV scenarios powered by TorchSharp
- Accelerate deep learning workflows through improved batch support and accelerators (i.e. ONNX Execution Providers)
- Build a bridge between ONNX and TorchSharp
- LightGBM
- Update to the latest version
- Enable collaboration by enabling loading / saving of models in native LightGBM format.
- DataFrame
- Bug fixes and getting the basics right
- Untyped PredictionEngine
- Responsible AI
- Integrate fairness detection and mitigation APIs into ML.NET

## Feedback and contributions

ML.NET is a community effort and we welcome community feedback on our plans. The best way to give feedback is to [open an issue](https://github.com/dotnet/machinelearning/issues/new/choose) in this repo.
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