EBOP Model Automatic input Value Estimation Neural network
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Updated
Jun 2, 2024 - Jupyter Notebook
EBOP Model Automatic input Value Estimation Neural network
A deep-learning project that utilizes a custom-made Convolutional Neural Network (CNN) architecture to recognize handwritten Chinese numerals.
Convolutional Neural Network inference library running on CUDA
基于人工智能的中医图像分类, 本存储库包含一个针对中药的人工智能图像分类系统。该项目的目标是通过输入图像准确识别和分类各种中草药和成分。这个仓库里藏着一个神秘的宝藏——一个专为中药打造的人工智能图像分类系统。就像一位奇幻冒险中的导航者,这个项目的任务是将神秘的图像输入,变幻成准确的中草药和成分分类。让我们一起揭开这个数字世界中的迷雾,解锁植物的秘密,用技术和智能描绘中药的未知领域。
An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
🤖 DeepCaptcha Solver 🚀 | A cutting-edge deep learning model for solving CAPTCHA images with high accuracy using CNNs and Keras. 🌟
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Project at Harvard (HMS and MGH) for Deep Learning-powered WMH quantification. Please refer to the official website for more recent information.
This project includes a deep learning Convolutional Neural Network (CNN) model. Its primary purpose is to predict handwritten numbers, and it has been trained using the MNIST dataset.
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.
Classify fashion products based on a neural-network by providing an image of the product to be classified.
Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)
Arbitrary-timestep Transformer for Enhanced Multi-frame Interpolation and Synthesis
Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]
Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
Pre-trained models and utilities for deep learning on medical images in Python
Research project on classification of galaxy imagery using machine learning algorithms incl. CNNs
Sign Language Recognition Web Application
Python-пакет для распознавания эмоции на лице человека по фото
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