NCRFpp VS SimpNet-Deep-Learning-in-a-Shader

Compare NCRFpp vs SimpNet-Deep-Learning-in-a-Shader and see what are their differences.

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. (by jiesutd)
Pytorch Ner sequence-labeling Crf lstm-crf char-rnn char-cnn named-entity-recognition part-of-speech-tagger chunking neural-networks nbest Lstm Cnn Natural Language Processing Artificial intelligence
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SimpNet-Deep-Learning-in-a-Shader

A trainable convolutional neural network inside a fragment shader (by SCRN-VRC)
Vrchat Cnn Machine Learning Shaders Unity3d covnets backpropogation Artificial intelligence neural-networks
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NCRFpp SimpNet-Deep-Learning-in-a-Shader
1 2
1,877 104
- -
0.0 0.0
almost 2 years ago almost 3 years ago
Python GLSL
Apache License 2.0 MIT License
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NCRFpp

Posts with mentions or reviews of NCRFpp. 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 NCRFpp and SimpNet-Deep-Learning-in-a-Shader you can also consider the following projects:

zshot - Zero and Few shot named entity & relationships recognition

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

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

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

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

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

nn-morse - Decode morse using a neural network

Language-Translation-with-Fragment-Shaders - EN to JP and JP to EN with transformer models

pytorch-partial-crf - CRF, Partial CRF and Marginal CRF in PyTorch

speech-music-detection - Python framework for Speech and Music Detection using Keras.

NCRFpp vs zshot SimpNet-Deep-Learning-in-a-Shader vs YOLOv4-Tiny-in-UnityCG-HLSL NCRFpp vs seqeval SimpNet-Deep-Learning-in-a-Shader vs AviSynthAiUpscale NCRFpp vs Stanza SimpNet-Deep-Learning-in-a-Shader vs CodeSearchNet NCRFpp vs thinc SimpNet-Deep-Learning-in-a-Shader vs ACNetGLSL NCRFpp vs nn-morse SimpNet-Deep-Learning-in-a-Shader vs Language-Translation-with-Fragment-Shaders NCRFpp vs pytorch-partial-crf NCRFpp vs speech-music-detection