Muhammad Uzair Khattak's repositories
multimodal-prompt-learning
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
transformers-transforming-vision
Validating image classification benchmark results on ViTs and ResNets (v2)
OD-Satellite-iSAID
Object detection with Satellite Images
ImageRecognition-NVIDIA-Jetson
PyTorch scripts of ResNet50: performance metrics are evaluated on Jetson Nano and on my GTX 1060 powered laptop (Asus GL702VM)
CLIP_contextualAnalysis
Experimentation on CLIP's classification behaviour by changing prompts and contextual information
ConvNext-FGVC
Benchmarking ConvNeXts for FGVC datasets
DeiT_ConvNeXt_KnowledgeDistillation
Learning with Knowledge Distillation for Fine Grained Image Classification
facial-mask-detector-MTCNN
Pytorch based custom NN and tensorflow based MTCNN face detection algorithm Facial Mask Detector
muzairkhattak.github.iouzair
My personal website
Image-Stitching-Results
Stiched WSI images using our custom Image Stitching software
Machine-Learning-Course-Assigments-CS-470-
Solved coding assignments for my CS470 ML course (during my bachelors)
muzairkhattak.github.io
My personal website
proposals_visualizer_fasterrcnn
Jupyter notebook for visualizing RPN proposals of a trained Faster RCNN on given sample images
chatbot-PyTorch-
Uploaded a jupyter notebook in which a chatbot is implemented using PyTorch Framework.
Digital-Signal-Processing_MATLAB
Different Digital Signal processing codes and algorithms implemented in MATLAB
Final-code
train and eval code of winning team in MBZUAI Cats vs Dogs competition
GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
ML-Algorithms-using-Libraries-
This repo consists of ML algorithms using popular ML/DL Libraries
object-centric-ovd
Official repository of paper titled "Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection".
PAK-COVID-19-Citywise-and-District-wise-analysis
A python based script in which PAK-COVID-19 dataset from Kaggle is used for Records Visualization and preprocessing of Data..
Plant_pathology-Kaggle-Competition
fastai dense-net and pytorch resnet model implementation which gives upto 96% of test accuracy on the test data of Kaggle plants-pathology competition
TensorRT-with-PyTorch
Complete code files, with proper documentation on how to use PyTorch Models with TensorRT optimization for PCs, Jetson TX2 and Jetson Nano
Video-FocalNets
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition