OmerTariq-KAIST

100-Days-of-Ros

A breakdown of 100 days encapsulating my journey of learning ROS, starting at the basic and upscaling to advanced concepts

100DaysOfRTL

100 Days of RTL

2D-Particle-Filter-Accelerator

This paper proposes a particle filter accelerator that employs a cellular automata-based pseudo-random number generator and an improved systematic resampler based on the Vose Alias method. The proposed accelerator deployed on the Zedboard (ZC7020) system-on-chip achieves a low execution time of approximately 4.63us.

DeepILS

EmoHEAL

HaMuCo-3D-hand-pose-estimation

[ICCV 2023] HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning

IMUDB-Self-Supervised-IMU-Denoising-Method

[RA-L 2023] Official Pytorch-Lightning Implementation for "A Simple Self-Supervised IMU Denoising Method For Inertial Aided Navigation", in IEEE Robotics and Automation Letters, 2023

OmerTariq-KAIST.github.io

ORB-SLAM-Accelerator

useful-computer-vision-phd-resources

Lists of resources useful for my PhD in computer vision

OmerTariq-KAIST/DeepILS

OmerTariq-KAIST/OmerTariq-KAIST.github.io

OmerTariq-KAIST/2D-Particle-Filter-Accelerator

This paper proposes a particle filter accelerator that employs a cellular automata-based pseudo-random number generator and an improved systematic resampler based on the Vose Alias method. The proposed accelerator deployed on the Zedboard (ZC7020) system-on-chip achieves a low execution time of approximately 4.63us.

OmerTariq-KAIST/Awesome-LLM-Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

OmerTariq-KAIST/EmoHEAL

OmerTariq-KAIST/ORB-SLAM-Accelerator

OmerTariq-KAIST/30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

OmerTariq-KAIST/Awesome-3D-LiDAR-Datasets

This reposiotry is the collection for public 3D LiDAR datasets

OmerTariq-KAIST/Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

OmerTariq-KAIST/Awesome-Efficient-LLM

A curated list for Efficient Large Language Models

OmerTariq-KAIST/awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

OmerTariq-KAIST/CA-TCC-SSL

Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

OmerTariq-KAIST/deep-learning-localization-mapping

A collection of deep learning based localization models

OmerTariq-KAIST/DL-Notebooks

Understanding Deep Learning - Simon J.D. Prince

OmerTariq-KAIST/Enhancing-Deep-Learning-with-Bayesian-Inference

Enhancing Deep Learning with Bayesian Inference, published by Packt

OmerTariq-KAIST/ESP32-S3-DL

Espressif deep-learning library for AIoT applications

OmerTariq-KAIST/hkust-thesis

HKUST Thesis LaTeX3 Template (Also available on Overleaf)

OmerTariq-KAIST/HomeBot-ROS2-Navigation

HomeBot-ROS2-Navigation: A ROS2-powered robotic platform for autonomous indoor navigation and mapping.

OmerTariq-KAIST/language-model-hackers

Hackers' Guide to Language Models

OmerTariq-KAIST/Lightweight-Transformer-Models-For-HAR-on-Mobile-Devices

Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devices. Findings shows that HART uses fewer paremeters, FLOPs and achieves state-of-the-art results.

OmerTariq-KAIST/llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

OmerTariq-KAIST/lm_nav

OmerTariq-KAIST/MDPI_Electronics_SBox_Analysis

OmerTariq-KAIST/Neural-Network-Architecture-Diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

OmerTariq-KAIST/OrienterNet

Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"

OmerTariq-KAIST/polyfit

PolyFit is a C library providing polynomial fitting functionality, for precise curve approximation based on input data. The library facilitates interpolation and extrapolation, allowing users to predict additional data points with accuracy and efficiency.

OmerTariq-KAIST/The-Algorithms

All Algorithms implemented in Python

OmerTariq-KAIST/TinyML-Colabs

This repository holds the Google Colabs for the EdX TinyML Specialization

OmerTariq-KAIST/UW_Applied_Deep_Learning

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

OmerTariq-KAIST/WizardLM-WizardCoder

Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder and WizardMath