MachineLearning-BaseballPrediction-BlazorApp
Awesome-Diffusion-Models
| MachineLearning-BaseballPrediction-BlazorApp | Awesome-Diffusion-Models | |
|---|---|---|
| 10 | 6 | |
| 45 | 10,064 | |
| - | - | |
| 4.1 | 6.1 | |
| 3 months ago | 2 months ago | |
| HTML | HTML | |
| MIT License | MIT License |
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MachineLearning-BaseballPrediction-BlazorApp
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Machine Intelligence & Blazor Demos - .NET 6 RC1 & .NET 5.0.10
•Baseball ML Workbench (.NET 5.x, Blazor Server): https://aka.ms/BaseballMLWorkbench
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Announcing the v1.0 Release of the Baseball Machine Learning Workbench
Live Demo Web Site: https://aka.ms/BaseballMLWorkbench
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Announcing the Baseball Machine Learning Workbench - Predict Hall of Fame for Players!
Live Demo Web Site: https://aka.ms/BaseballMLWorkbench
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[P] Announcing v1.0 release of the Baseball Machine Learning Workbench
Live Demo Web Site: https://aka.ms/BaseballMLWorkbench
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Announcing v1.0 of the Baseball Machine Learning Workbench
Live Demo Web Site: https://aka.ms/BaseballMLWorkbench
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Blazor & Machine Intelligence Demos
•Baseball ML Workbench: https://github.com/bartczernicki/MachineLearning-BaseballPrediction-BlazorApp •Statistical Simulations & Visuals (.NET Core 3.x, Blazor WASM): https://github.com/bartczernicki/Test-Blazor-WebAssembly-StatisticsAndML •Statistical Simulations & Visuals (.NET 5, Blazor WASM): https://github.com/bartczernicki/Test-Blazor-WebAssembly-StatisticsAndML-DotNet5 •ML.NET Baseball Predictions & Lucene Information Retrieval (.NET 5, Blazor WASM, Self-Host): https://github.com/bartczernicki/Test-Blazor-MLNet
Awesome-Diffusion-Models
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Ask HN: How do you catch up to the research of LLMs/Transformers etc.?
3. https://github.com/diff-usion/Awesome-Diffusion-Models
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Awesome-Diffusion-Models
GitHub repository that contains a collection of resources and papers on Diffusion Models: https://github.com/heejkoo/Awesome-Diffusion-Models
- GitHub - heejkoo/Awesome-Diffusion-Models: A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models
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Wiskkey's lists of text-to-image systems and related resources
(Added Apr. 10, 2022) Awesome Diffusion Models.
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[D] Introduction to Diffusion Models
I certainly should have looked for a lucidrains implementation, but I also found https://github.com/heejkoo/Awesome-Diffusion-Models which had some helpful links too.
What are some alternatives?
BlazorPanzoom - Blazor wrapper for timmywil's panzoom library that helps make zooming and panning of Blazor components and elements easier
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Test-Blazor-WebAssembly-StatisticsAndML-DotNet6 - Blazor WASM (WebAssembly) with .NET Core 3.x & .NET 6 implementations, that showcases howto perform statistical analysis locally inside the browser
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models
Test-Blazor-WebAssembly-StatisticsAndML-DotNet5 - Blazor WASM (WebAssembly) with .NET Core 3.x & .NET 5 implementations, that showcases howto perform statistical analysis locally inside the browser
ML-University - Machine Learning Open Source University
Simulation-SportsChampionships - Using statistical monte carlo simulations, determine how easy it was to make the playoffs or win a championship in a particular sports league decade (basketball, football).
dalle-mini - DALL·E Mini - Generate images from a text prompt
papers-I-read - A-Paper-A-Week
CogView2 - official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"