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Search: handwritten-digit-recognition
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Showing 10 results from 98
karan1149/crohme-data-extractor
GitHub PythonA modified extractor for the CROHME handwritten math symbols dataset.
External source
GitHub
williamcfrancis/Variational-Autoencoder-for-MNIST
GitHub Jupyter Notebook MIT LicensePytorch implementation of a Variational Autoencoder (VAE) that learns from the MNIST dataset and generates images of altered handwritten digits.
External source
GitHub
tahaemara/multi-digit-segmentation-and-recognition
GitHub JavaHandwritten Multi-digit String Segmentation and Recognition using Deep Learning.
External source
GitHub
zealerww/digits_recognition
GitHub Pythona web application of handwritten digits recognition based on Django
External source
GitHub
CKKKC8719/handWritten-digit-recognition-based-on-BP
GitHub MATLABๅบไบBP็ฅ็ป็ฝ็ปๅฎ็ฐๆๅๆฐๅญ่ฏๅซไธGUIๅฏ่งๅๆพ็คบ๏ผๅฎ็ฐๅทฅๅ ท๏ผmatlab
External source
GitHub
FSq-Poplar/FPGA_NN
GitHub Verilog GNU General Public License v3.0A neural network built in Verilog for the DE1-SoC FPGA board for handwritten digit recognition.
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GitHub
GusionTan/HandwrittenDigitRecognition
GitHub PythonNo description available from source.
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GitHub
Sanjay072/Handwritten-Digit-Recognition-MNIST-
GitHubNo description available from source.
External source
GitHub
mirzayasirabdullahbaig07/MNIST_Digit_Classification_Model
GitHub Jupyter NotebookA complete handwritten digit recognition system using Scikit-learn on the MNIST dataset, featuring model training, evaluation, error analysis, and Gradio app deployment.
External source
GitHub
k18shruti/SNN-for-Pattern-Recognition
GitHub CudaA 3-layer SNN code for performing MNIST handwritten digit recognition using a supervised spike based learning rule
External source
GitHub
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