Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
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Updated
Jun 11, 2024 - Python
Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
TensorFlow 101: Introduction to Deep Learning
This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.
EBOP Model Automatic input Value Estimation Neural network
Welcome to quote our published papers, and the codes have been uploaded.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Convolutional Interactive Artificial Neural Networks by/for Astrophysicists
EDN-GTM Scheme for Single Image Dehazing
Biblioteca para manipulação de modelos de Redes Neurais
3D Neural Denoising for Track Reconstruction and Pattern ID @ LHCb TORCH Detector
Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra
Implementation from scratch (using numpy arrays) of a framework based on keras interface which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
Projects created for the Spring 2023 Neural Networks Course at the University of Missouri - Columbia
Artificial Neural Network from scratch using Javascript on the browser
Content-Based Image Retrieval Using CNN and Hash
Keras-Tensorflow implementation of complex-valued convolutional neural networks
Open source Python library for building bioimage analysis pipelines
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