Momal Ijaz's Projects
This repo is a re-implementation of AlphaFold by DeepMind, in PyTorch and was implemented in Nov 2020, when AlphaFold 2 was not published yet.
This repo contains solved assignment exercises from Andrew NG's coursera's course "Introduction to Machine Learning" for week 5 and onwards.
Forked version of AnimateDiff, attempts to add init images. If you are look into original repo, please go to https://github.com/guoyww/animatediff/
This repo contains Arrays DSA problems from Strivers' SDA Sheet.
Caffe
This repo performs canny edge detection in steps, using 1d Gaussian filters over sample grayscale images from the Berkeley Segmentation Dataset.
Work in Progress for building a Contextual QnA based search engine.
This rep contains the code for dummy node-app used in the medium article series "Docker for dummies... ".
This repo implements all famous data structures and algorithms required for technical interviews from "Cracking the Coding interview" by Gayle Laakmaan, in Python3.
This repo covers implementation of face detection, recognition and tracking on Jetson Xavier, with above 15 FPS.
This repo is a work in progress for fall detection using 3d poses.
This repo implements a simple convolutional and linear autoencoder, analyzed on MNIST digit recreation.
Flask Extension for InfluxDB
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
Open-Set Grounded Text-to-Image Generation
A solution for hosting a DB of compressed images, that can be accessed via an API.
Code for the medium article:
Code for the medium article: Kubernetes101-Introduction to container orchestration
This repo is a WIP of all first attempt solutions by me for the LeetCode technical must-do programming tasks.
LightWeightPose Network from scratch in pytorch.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
This repo is official implementation of the paper "Multimodal transformer for Nurse Activity Recognition", published in CVPM2022, CVPRW.
"OpenCV for Python Developers" By Patrick Crawford
This repo compares five different models and analyses their convergence and training for MNIST digit classification dataset.
This repo includes the results for performing road and lane marking detection, using state of the art VPGNet trained on Caltech Lane Dataset.