saadwazir

HistoSeg

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg

ChatterBot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

DOTA-FasterRCNN

DOTA-FasterRCNN

fast-sam-nvidia-jeston

Feed-Forward-Neural-Network-for-Pokemon-Dataset

Generate Dataset using bing scrap and train nn

feedforward_neural_network

Feed Forward Neural network

Image_Patchyfy

Image_Patchyfy

keras-io

Keras documentation, hosted live at keras.io

MIST

Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder

nvidia-jetson_deepstream_yolo_pytorch_and_torchvision_setup_guide

INSTALLATION AND DEPLOYMENT GUIDELINE YOLOV7's PRE-PRETRAINED MODEL ON JETSON PLATFORM

Object-Detection-Deep-learning

Object-Detection-Deep-learning

segnet_MonuSeg

segnet_MonuSeg

SWIN-UNet