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

Compare SimpNet-Deep-Learning-in-a-Shader vs CodeSearchNet 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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CodeSearchNet

Datasets, tools, and benchmarks for representation learning of code. (by github)
Deep Learning Natural Language Processing programming-language-theory Machine Learning Tensorflow Datasets Data Science machine-learning-on-source-code representation-learning neural-networks Python ML open-data Data Cnn Rnn self-attention Bert NLP nlp-machine-learning

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SimpNet-Deep-Learning-in-a-Shader CodeSearchNet
2 2
104 1,904
- -
0.0 0.0
almost 3 years ago over 2 years ago
GLSL Jupyter Notebook
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

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.

CodeSearchNet

Posts with mentions or reviews of CodeSearchNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-04.
  • Fine tuning
    2 projects | /r/ChatGPTCoding | 4 Apr 2023
    The CodeSearchNet challenge provides a dataset of code documentation comments, along with pre-trained models and fine-tuning scripts. You can find the challenge and resources at https://github.com/github/CodeSearchNet.
  • Speedtyper.dev: Type racing for programmers
    2 projects | /r/webdev | 16 Jan 2021
    https://github.com/github/CodeSearchNet#downloading-data-from-s3

What are some alternatives?

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

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

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

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

data - Data and code behind the articles and graphics at FiveThirtyEight

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

awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

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.

pycaret - An open-source, low-code machine learning library in Python

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

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

trulens - Evaluation and Tracking for LLM Experiments

MetalTranslate - Customizable machine translation in C++

SimpNet-Deep-Learning-in-a-Shader vs YOLOv4-Tiny-in-UnityCG-HLSL CodeSearchNet vs AI-For-Beginners SimpNet-Deep-Learning-in-a-Shader vs AviSynthAiUpscale CodeSearchNet vs data SimpNet-Deep-Learning-in-a-Shader vs ACNetGLSL CodeSearchNet vs awesome-speech-recognition-speech-synthesis-papers SimpNet-Deep-Learning-in-a-Shader vs NCRFpp CodeSearchNet vs pycaret SimpNet-Deep-Learning-in-a-Shader vs Language-Translation-with-Fragment-Shaders CodeSearchNet vs pytorch-GAT CodeSearchNet vs trulens CodeSearchNet vs MetalTranslate