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

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

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

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 NCRFpp
2 1
104 1,877
- -
0.0 0.0
almost 3 years ago almost 2 years ago
GLSL Python
MIT License Apache License 2.0
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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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.

NCRFpp

Posts with mentions or reviews of NCRFpp. We have used some of these posts to build our list of alternatives and similar projects.
  • Speech and Language Processing (3rd ed. draft)
    1 project | news.ycombinator.com | 17 Oct 2021
    They still talk about Hidden Markov Models (HMMs) in quite a bit of detail in the sequence labelling chapter, but you are quite right, Conditional Random Fields (CRFs) and especially neural network based CRFs are in the top rankings when it comes to named entity recognition (NER) and part-of-speech tagging (POS), e.g. see https://github.com/jiesutd/NCRFpp.

What are some alternatives?

When comparing SimpNet-Deep-Learning-in-a-Shader and NCRFpp you can also consider the following projects:

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

zshot - Zero and Few shot named entity & relationships recognition

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

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

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

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

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

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

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

nn-morse - Decode morse using a neural network

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

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

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