GitHub topics: residual-connections
zjykzj/crnn-ctc
CRNN/LPRNet/STNet + CTC + CCPD
Language: Python - Size: 11.5 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 10 - Forks: 4

TatevKaren/BabyGPT-Build_GPT_From_Scratch
BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python
Language: Python - Size: 1.34 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 80 - Forks: 26

muhdadbachmid/EQ-ReturnPeriod-AttentionRLSTM
This repository implements an Attention-based Residual LSTM model for earthquake return period prediction in Sulawesi. Using USGS data (1975-2024), it enhances accuracy with attention mechanisms and residual connections, mitigating vanishing gradients. The model improves seismic forecasting, aiding disaster preparedness and risk mitigation.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

MAvRK7/Perceptually-Aware-Image-Enhancement-with-Deep-Residual-U-Net-and-PatchGANs
This repo is about an image enhancement
Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

hwixley/MLP-coursework2-report
Machine Learning Practical - Coursework 2 Report: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.
Language: TeX - Size: 741 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

hwixley/MLP-coursework2
Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during training. And exploring solutions using batch normalization and residual connections.
Language: Python - Size: 3.37 GB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ytchx1999/PyG-OGB-Tricks
Bags of Tricks in OGB (node classification) with GCNs.
Language: Python - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 30 - Forks: 4

athanatos96/CNN-and-Residual-Connections-for-Cow-Teat-Image-Classification
Paper Name: Convolutional Neural Networks and Residual Connections for Cow Teat Image Classification. Testing the impact of Convolutional Neural layers and Residual Conections in the accuracy of dairy Cows Teat Imaga classification Dataset from and testing software: https://github.com/YoushanZhang/SCTL
Language: Jupyter Notebook - Size: 1.77 GB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

paulpuren/PhyCRNet
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
Language: Python - Size: 1.33 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 3
