Omer Tariq's repositories
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
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-LLM-Robotics
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
onxx-TAO-models
A collection of pre-trained, state-of-the-art models in the ONNX format
Awesome-3D-LiDAR-Datasets
This reposiotry is the collection for public 3D LiDAR datasets
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
awesome-hand-pose-estimation
Awesome work on hand pose estimation/tracking
CA-TCC-SSL
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification
deep-learning-localization-mapping
A collection of deep learning based localization models
DL-Notebooks
Understanding Deep Learning - Simon J.D. Prince
Enhancing-Deep-Learning-with-Bayesian-Inference
Enhancing Deep Learning with Bayesian Inference, published by Packt
ESP32-S3-DL
Espressif deep-learning library for AIoT applications
hkust-thesis
HKUST Thesis LaTeX3 Template (Also available on Overleaf)
HomeBot-ROS2-Navigation
HomeBot-ROS2-Navigation: A ROS2-powered robotic platform for autonomous indoor navigation and mapping.
language-model-hackers
Hackers' Guide to Language Models
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.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
OrienterNet
Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"
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.
The-Algorithms
All Algorithms implemented in Python
TinyML-Colabs
This repository holds the Google Colabs for the EdX TinyML Specialization
UW_Applied_Deep_Learning
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
WizardLM-WizardCoder
Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder and WizardMath