Pinned Repositories
attention_keras
Keras Layer implementation of Attention for Sequential models
Attention_UNet_versions
Raw implementation of attention gated U-Net by Keras
Basic-R-Programming
Breast_Cancer_segmentation_classification.py
covid-detection-Swin-Transormers
This project aims to detect COVID-19 cases from chest X-ray images using the Swin Transformer model.
keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
pytorch-timm-image-models-Documentation
In this repo there si a directory named doc which contains all the documentation
SwinUnetArchitecturePytorch
The Swin-UNet is a version of the widely used U-Net architecture that combines the windowed attention mechanism of Swin transfomer with the U-Net framework.
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
sidd462's Repositories
sidd462/covid-detection-Swin-Transormers
This project aims to detect COVID-19 cases from chest X-ray images using the Swin Transformer model.
sidd462/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
sidd462/pytorch-timm-image-models-Documentation
In this repo there si a directory named doc which contains all the documentation
sidd462/SwinUnetArchitecturePytorch
The Swin-UNet is a version of the widely used U-Net architecture that combines the windowed attention mechanism of Swin transfomer with the U-Net framework.
sidd462/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
sidd462/Basic-R-Programming
sidd462/Breast_Cancer_segmentation_classification.py
sidd462/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
sidd462/Deep-learning-from-scratch
sidd462/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
sidd462/image
sidd462/Modern-Computer-Vision-with-PyTorch-2E
Modern Computer Vision with PyTorch, 2E, Published by Packt
sidd462/Neural_Networks_From_Scratch
sidd462/PDF-OCR
sidd462/person-image-segmentation
sidd462/Prediction-of-Adult-Income-Based-on-Census-Data
sidd462/RatInABox
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
sidd462/re-val
sidd462/Risk-Assessment-Predicting-Loan-Defaults-with-AI
sidd462/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
sidd462/Stock-Market-Algorithm-Analysis
sidd462/stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
sidd462/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
sidd462/Tensorflow_Custom_Callbacks
sidd462/Terrain-recognition
sidd462/tf-keras-vis
Neural network visualization toolkit for tf.keras
sidd462/TIMM_TRICKS
timm models codes tricks
sidd462/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
sidd462/Transformer_CT_COVID
sidd462/Youtube-Chrome-Extension