OmerTariq-KAIST
Advance Machine Learning, Generative AI, Robotics, SLAM, FPGA Design & Verification. Python | C++ | Pytorch | Tensorflow | CUDA | Verilog | SystemVerilog
KAISTSouth Korea
Pinned Repositories
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
LightPHE
A Lightweight Partially Homomorphic Encryption Library for Python
MLOps-Basics
OmerTariq-KAIST.github.io
ORB-SLAM-Accelerator
useful-computer-vision-phd-resources
Lists of resources useful for my PhD in computer vision
OmerTariq-KAIST's Repositories
OmerTariq-KAIST/A-LOAM
Advanced implementation of LOAM
OmerTariq-KAIST/approx-fpgas
Approximate arithmetic circuits for FPGAs
OmerTariq-KAIST/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
OmerTariq-KAIST/Design-and-Analysis-of-Algorithms
Algorithms and Data Structures.
OmerTariq-KAIST/differential-privacy-federated-learning
Curated notebooks on how to train neural networks using differential privacy and federated learning.
OmerTariq-KAIST/dnn-based_indoor_localization
Research on deep-neural-network-based indoor localization
OmerTariq-KAIST/FPGA-ZynqNet
FPGA-based ZynqNet CNN accelerator developed by Vivado_HLS
OmerTariq-KAIST/imu-transformers
Learning IMU-based tasks with transformers
OmerTariq-KAIST/IMU_and_pose_Android_Recorder
OmerTariq-KAIST/knowledge-distillation
Knowledge Distillation using Teacher-Student and Teacher-Assistant-Student Models
OmerTariq-KAIST/Knowledge-Graph-with-NLP
Creating a Knowledge Graph based on NLP
OmerTariq-KAIST/lidar_slam_evaluator
LiDAR SLAM comparison and evaluation framework
OmerTariq-KAIST/Localisation-using-PSO
Indoor Localisation using Particle Swarm Optimisation
OmerTariq-KAIST/mat-pso-localization
Mobile robot localization using Particle Swarm Optimization
OmerTariq-KAIST/Mersenne-Twister-HLS
High Level Synthesis (Xilinx HLS) implementation of the popular Mersenne Twister pseudo-random number generator. This will generate a VHDL/Verilog module that streams 32 bit psuedo-randoms at 500 MHz on a Virtex 7 FPGA.
OmerTariq-KAIST/oreilly-rl-tutorial
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
OmerTariq-KAIST/Particle-Filter-Localization
Implementation of Robot Localization Based on Particle Filter(MCL) in ROS
OmerTariq-KAIST/pcl-ros-tutorial
A fairly in-depth tutorial for the Point Cloud Library (with ROS integration notes!)
OmerTariq-KAIST/Perception-for-Self-driving
Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.
OmerTariq-KAIST/PNN-Template
PNN
OmerTariq-KAIST/rbpf_slam
rao-blackwellized particle filter implemented on grid map
OmerTariq-KAIST/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
OmerTariq-KAIST/rl_ardrone
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
OmerTariq-KAIST/RSSI-Dataset-for-Indoor-Localization-Fingerprinting
RSSI dataset for Fingerprinting with Zigbee, BLE and WiFi
OmerTariq-KAIST/SimpleTPU
A FPGA Based CNN accelerator, following Google's TPU V1.
OmerTariq-KAIST/stanford-cs161-DAA
Unofficial repo for Design and Analysis of Algorithms, Stanford University, Fall 2017.
OmerTariq-KAIST/swarmlib
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)
OmerTariq-KAIST/TinyML-ESP32
This is the TinyML programs for ESP32 according to BlackWalnut Labs Tutorials. (黑胡桃实验室的TinyML教程中的程序集合)
OmerTariq-KAIST/tinyml-on-the-edge
IMU sensors on Arduino Nano 33 BLE Sense can be used in gesture recognition. Using machine learning, a model is trained using the data collected from the IMU sensors on Google Colaboratory. A tensorflow lite model is encoded in arduino header which a classifier sketch uses. They include; accelerometer , gyroscope and magnetometer.
OmerTariq-KAIST/UJIIndoorLoc-IndoorLocalization
This repository contains a single node neural network model from scratch and some TensorFlow based models of varying complexity to perform indoor localization using the UJIIndoorLoc dataset.