avui

Simple TUI for quickly connecting to existing scripts/tools.

cie-lab

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

densenet

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

joaopauloschuler

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.

keffnet

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

keffnetv1

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

keffnetv2

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

keras-applications

Reference implementations of popular deep learning models.

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.

pasopencl

Pascal Open CL headers

plantdoc-object-detection-dataset

pre-trained-neural-api-networks

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

two-branch-plant-disease

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

two-path-noise-lab-plant-disease

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