Implementation of Residual Networks.
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Updated
May 18, 2024 - Jupyter Notebook
Implementation of Residual Networks.
In this project, we proposed a straightforward strategy to engineer Residual networks with fewer than 5M parameters for CIFAR10 dataset
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
✂️ Deep learning-based splice site predictor that improves spliced alignments
Using a modified ResNet to enhance image classification on the Cigar-10 dataset
The code repository for "Parkinson’s severity diagnosis explainable model based on 3D multi-head attention residual network"
A CNN based autoencoder with Bottleneck Residual blocks on cifar10. May add perceptual loss and/or try out different loss functions later, will use L2 as the default.
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
Residual neural network in Rust for modeling binary numbers
Modified Residual U-Net (ResUnet) for Image Segmentation
Welcome to quote our published papers, and the codes have been uploaded.
Predicting changes in sleep states based on sleep monitoring data. (Mainly PrecTime model)
Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry
Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring 2023 semester.
PyTorch implementation of ResUNet++ for Medical Image segmentation
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Acoustic Communication Underwater Mimicking Sea Classification by Multiscale Deep Features Aggregation and Low Complexity, and Data Augmentation.
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
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