joaopauloschuler

neural-api

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.

k-neural-api

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 examples and documentation.

two-path-noise-lab-plant-disease

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

two-branch-plant-disease

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

PasOpenCL

Pascal Open CL headers

kEffNetV1

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

kEffNet

Code for the paper "Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet".

kEffNetV2

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

pre-trained-neural-api-networks

Pre-trained neural network models for the CAI neural API.

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

avui

Simple TUI for quickly connecting to existing scripts/tools.

cie-lab

Source code for the paper "Delving into CIE L+AB Neuronal Branches".

joaopauloschuler

keras-applications

Reference implementations of popular deep learning models.

PlantDoc-Object-Detection-Dataset