Framework for the automatic creation of CNN architectures
-
Updated
Jun 30, 2024 - Python
Framework for the automatic creation of CNN architectures
edepth is a trainable CNN-based model for depth estimation from single images, videos, and live camera feeds.
In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.
Photo and Video culling tool using ML vision models in Python
This code trains a CNN in Keras to classify cell images (infected/uninfected). It sets up data generators, defines model architecture with convolutional layers, applies regularization, configures callbacks, and trains the model for binary classification.
Project I carried out during my Machine Learning course in the Master.
NN and CNN implementation from scratch in PyTorch with data loading, training, and evaluation phase on CIFAR 100 image dataset
Calculation of the dimensional progression in Convolutional Neural Networks
Joint scene classification and semantic segmentation with FuseNet
Implementation of a deep learning model based on the VGG16 neural network to track faces in a video or with a camera in real time.
A self-taught project about Machine Learning & Deep Learning with Python. Thanks to the countless researchers and developers around the world and their open-source code, particularly Python-based open-source code!
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
PyTorch code to reproduce the results of "Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints" by Liu et. al.
Tutorial on Speech Recognition using Convolutional Neural Network
The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG dataset.
DexiNed: Dense EXtreme Inception Network for Edge Detection
A Benchmark for Semantic Segmentation of Waterbody Images
This repo has a Tensorflow implementation of speech denoising with an API service as well.
Do you want to train a custom convolution neural network with minimal steps and 0 coding efforts. Here is how you can train custom image classification model with minimal steps. Clone this repository and enjoy the model training sipping hot coffee.
The SFPN is a novel plug-and-play component for the CNN object detector. This project is the official code for the paper "SFPN: Synthetic FPN for Object Detection" in IEEE ICIP 2022.
Add a description, image, and links to the cnn-architecture topic page so that developers can more easily learn about it.
To associate your repository with the cnn-architecture topic, visit your repo's landing page and select "manage topics."