Abduallah Mohamed's starred repositories

learned_inertial_model_odometry

This repo contains the code of the paper "Learned Inertial Odometry for Autonomous Drone Racing", RA-L 2023.

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tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

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pykan

Kolmogorov Arnold Networks

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imu_x_fusion

IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP

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Yolo_Label

GUI for marking bounded boxes of objects in images for training neural network YOLO

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llm-course

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

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OLMo

Modeling, training, eval, and inference code for OLMo

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vmf_loss

PyTorch Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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microGPT

Implementation of GPT from scratch. Design to be lightweight and easy to modify.

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tinyodom

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

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social-transmotion

[ICLR 2024] Official implementation of "Social-Transmotion: Promptable Human Trajectory Prediction" in PyTorch.

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DeepCCA

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

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ORB_SLAM3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

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ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

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Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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mamba

Mamba SSM architecture

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precog

Reimplementation (currently partial) of PRECOG paper, ICCV '19

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GNews

A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.

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FollowMe

Code repo for "FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings"

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From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

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nn-zero-to-hero

Neural Networks: Zero to Hero

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Autonomous_Vehicle_Paper_Reading_List

A collection of papers focus on self-driving car. Many topics are covered including computer vison, sensor fusion, SLAM, decision and planning. The paper list will be timely updated.

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MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

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Social-Implicit

Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022

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