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.

Awesome-Multimodal-Spatio-Temporal-LLMs

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

LightPHE

A Lightweight Partially Homomorphic Encryption Library for Python

MLOps-Basics

OmerTariq-KAIST.github.io

TRIP

useful-computer-vision-phd-resources

Lists of resources useful for my PhD in computer vision

OmerTariq-KAIST/DeepILS

OmerTariq-KAIST/LightPHE

A Lightweight Partially Homomorphic Encryption Library for Python

OmerTariq-KAIST/MLOps-Basics

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/ALMA

State-of-the-art LLM-based translation models.

OmerTariq-KAIST/Awesome-Efficient-LLM

A curated list for Efficient Large Language Models

OmerTariq-KAIST/Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

OmerTariq-KAIST/Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

OmerTariq-KAIST/Complete-MLOps-BootCamp

A Hands on Guide on MLOps Practices to take your model from Laptop to Production. Created by the Author - Nachiketh Murthy

OmerTariq-KAIST/cvpr-latex-template

Extended LaTeX template for CVPR/ICCV papers

OmerTariq-KAIST/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

OmerTariq-KAIST/Dynamic-Inertial-Poser-DynaIP-

Code for Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors

OmerTariq-KAIST/FedAIoT

[DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

OmerTariq-KAIST/federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

OmerTariq-KAIST/MDPI_Electronics_SBox_Analysis

OmerTariq-KAIST/ModernTCN

This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

OmerTariq-KAIST/Neural-Network-Architecture-Diagrams

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

OmerTariq-KAIST/opacus

Training PyTorch models with differential privacy

OmerTariq-KAIST/OrienterNet

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

OmerTariq-KAIST/RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

OmerTariq-KAIST/Sensor_fusion_of_LiDAR_and_Camera_from_KITTI_dataset

Sensor fusion of LiDAR and Camera from KITTI dataset

OmerTariq-KAIST/TFC-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

OmerTariq-KAIST/Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

OmerTariq-KAIST/TinyML-Colabs

This repository holds the Google Colabs for the EdX TinyML Specialization

OmerTariq-KAIST/Treasure-of-Transformers

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️