Language-Translation-with-Fragment-Shaders VS SimpNet-Deep-Learning-in-a-Shader

Compare Language-Translation-with-Fragment-Shaders vs SimpNet-Deep-Learning-in-a-Shader and see what are their differences.

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Language-Translation-with-Fragment-Shaders SimpNet-Deep-Learning-in-a-Shader
1 2
89 104
- -
1.8 0.0
almost 2 years ago almost 3 years ago
ShaderLab GLSL
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Language-Translation-with-Fragment-Shaders

Posts with mentions or reviews of Language-Translation-with-Fragment-Shaders. We have used some of these posts to build our list of alternatives and similar projects.

SimpNet-Deep-Learning-in-a-Shader

Posts with mentions or reviews of SimpNet-Deep-Learning-in-a-Shader. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-29.
  • Can ML upscaling / DLSS be used to enhace shadow map quality?
    2 projects | /r/GraphicsProgramming | 29 Apr 2021
    If you think doing this https://github.com/SCRN-VRC/SimpNet-Deep-Learning-in-a-Shader/blob/master/Images/RenderTexture.png on all of the shadowmaps in a scene is faster than simply relying on tried-and-true hardware rasterization then you should work on more graphics/rendering projects to get a better grasp as to what is actually possible on hardware.

What are some alternatives?

When comparing Language-Translation-with-Fragment-Shaders and SimpNet-Deep-Learning-in-a-Shader you can also consider the following projects:

Anime-Speed-Lines - Post-processing effect to procedurally generate a anime/manga-style vignette of lines typically used to portray speed or surprise.

YOLOv4-Tiny-in-UnityCG-HLSL - A modern object detector inside fragment shaders

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

AviSynthAiUpscale - An AviSynth+ implementation of some Super-Resolution Convolutional Neural Networks.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

ACNetGLSL - ACNet (Anime4KCPP Net) re-implemented in GLSL for real-time anime upscaling

NCRFpp - NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.