Shuja Khalid (ShujaKhalid)

ShujaKhalid

Geek Repo

Company:PhD in ML @ U of T

Location:Toronto, ON

Home Page:shuja.khalid@github.io

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Shuja Khalid's repositories

polyrnn-pp

Implementation of instance segmentation helper tool similar to Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++

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bbox_tool

Bounding box tool for Mask-RCNN image segmentation created using React

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NaturalLanguageComputing-SentimentAnalysis

Using Spacy and machine learning to perform sentiment analysis on reddit comments

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wildNeRF

codebase for wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data

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Computer-Vision-AdvancedLaneDetection

Advanced Lane detection using OpenCV libraries

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Computer-Vision-VehicleDetection

Vehicle detection using an SVM classifier and computer vision methods

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Deep-Learning-BehaviourCloning

Keras model for creating a model that can drive a car through a racetrack

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deq-jax

Transformers for vision and text tasks using the magic of DEQs

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APIRequestQueuer

Back-end code that queues incoming requests and sends them to a proxy server until status is changes to "resolved"

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cloud-setup

Run scripts to setup a google cloud virtual instance

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deq

[NeurIPS'19] Deep Equilibrium Models

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ec2-a1

Scalable Application

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instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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machine_learning_examples

A collection of machine learning examples and tutorials.

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mamba-sandbox

Re-creating a simple implementation of Mamba using JAX and Pytorch.

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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mdeq

Multiscale Deep Equilibrium Models

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micrograd

Inspired by Andrej Karpathy's amazing tutorial on micrograd [https://www.youtube.com/watch?v=VMj-3S1tku0]

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MiVOS

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

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ml-algorithms

Coding practice for programming all ML algorithms from scratch in JAX/pytorch

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models

Models and examples built with TensorFlow

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refinerf

Code for RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters

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unet-pytorch

py-torch implementation of unet

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VariationalAutoEncoders_and_GenerativeAdversarialNetworks_Playground

Coding VAEs and GANs from scratch using tensorflow and Keras

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yolact

A simple, fully convolutional model for real-time instance segmentation.

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