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Achievement: YOLOAchievement: Starstruckx2Achievement: Pull SharkAchievement: Arctic Code Vault Contributor
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joaopauloschuler/README.md

Dr. JP - GitHub Repositories

More about my work can be found at:

Publications

Optimizing the first layers of a convolutional neural network:

Optimizing deep layers of a convolutional neural network:

Publicações em Português:

Doctoral Thesis

JP's doctoral thesis can be read here.

Pinned

  1. neural-api neural-api Public

    CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

    Pascal 350 193

  2. k-neural-api k-neural-api Public

    K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of exa…

    Python 134 106

  3. two-path-noise-lab-plant-disease two-path-noise-lab-plant-disease Public

    Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".

    Jupyter Notebook 18 4

  4. kEffNetV1 kEffNetV1 Public

    This repository contains the source code for the paper "Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks".

    Jupyter Notebook 6 2

  5. two-branch-plant-disease two-branch-plant-disease Public

    Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".

    Jupyter Notebook 12 4

  6. kEffNetV2 kEffNetV2 Public

    Repository for the paper Grouped Pointwise Convolution With Flexible Number of Channels and Filters per Group

    Jupyter Notebook 3