- Sukkur, Pakistan
- https://abdulmanaf12.github.io/
- @Abdul1Manaf
Stars
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, …
Official implementation of https://arxiv.org/abs/2105.08655 paper
Automated License Plate Recognition, specific to the Pakistani Number Plates
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
AbdulManaf12 / pediatric_wrist_abnormality_detection-end-to-end-implementation
Forked from ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementationAbdulManaf12 / FGVC-PIM
Forked from chou141253/FGVC-PIMPytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.
AbdulManaf12 / ultralytics
Forked from ultralytics/ultralyticsNEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
An end-to-end machine learning project, student performance indicator. The goal of this project is to understand the influence of the parents background, test preparation, and various other variabl…
A repository for an automated system using object detection and machine learning techniques to diagnose wrist abnormalities in children, adolescents, and young adults, providing high accuracy and p…
AbdulManaf12 / pediatric-wrist-anomaly-detection
Forked from ammarlodhi255/pediatric-wrist-abnormality-detectionsovit-123 / YOLOv6
Forked from meituan/YOLOv6YOLOv6: a single-stage object detection framework dedicated to industrial applications.
sovit-123 / ultralytics
Forked from ultralytics/ultralyticsYOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Training DETR (Detection Transformer) on custom object detection datasets.
Vision Transformers for image classification, image segmentation, and object detection.
PyTorch Faster R-CNN Object Detection on Custom Dataset
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.