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Farhan

farhanaugustine

University of Maryland Baltimore County
Maryland

Languages

Python63%Jupyter Notebook32%MATLAB5%

Repos

19

Stars

97

Forks

11

Top Language

Python

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Top Repositories

Repositories

19
FA
farhanaugustine/Gait_Analysis_DeepLabCut

Configurable Python project for analyzing gait in animal video experiments.

Python11Updated 1 week ago
FA
farhanaugustine/DeepLabCut-Analysis-Jupyter-Scripts

While DLCAnalyzer and DLC Helper functions are great. They fail to accommodate a vast range of behavior investigator's needs. The Jupyter script provided here is meant for post processing/analyzing DeepLabCut (DLC) CSV files. The script allows user to filter data, calculate velocities, draw Region of Interest (ROI), and more.

Jupyter Notebook92Updated 1 week ago
FA
farhanaugustine/DINOv3_Distillation_YOLO-pose

This project provides a complete pipeline to pre-train the backbone of a custom YOLOv11 pose estimation model using knowledge distillation from a powerful DINOv3 vision foundation model.

Python544Updated 6 months ago
FA
farhanaugustine/MitoFlow

4D-mitochondrial analysis platform.

Python10Updated 1 month ago
FA
farhanaugustine/IntegraPose

IntegraPose, an open-source toolkit for training single, end-to-end models that perform simultaneous behavioral classification and keypoint estimation. IntegraPose leverages YOLO-Pose architectures and transfer learning, enabling researchers to create custom models via a streamlined annotation workflow.

Python182Updated 1 month ago
anaconda3animalbehavioranalysispythonultralyticsyolov11yolov8
FA
farhanaugustine/Multi-ROI-Analysis-with-DeepLabCut-CSV-Outputs

No description provided.

Jupyter Notebook20Updated 1 year ago
FA
farhanaugustine/Temporal_Behavior_Analysis

Temporal analysis tools.

Python20Updated 6 months ago
anaconda3animal-behaviorbehavior-analysiselevated-plus-mazeopen-fieldpythont-mazeyolov11yolov8
FA
farhanaugustine/Dynamic_Position_Velocity_Visualizer_For_DLC

I created this notebook to help me with behavioral neuroscience experiments. It calculates the average positions and velocities of two body parts (for better accuracy), and creates visualizations such as GIFs and streamline plots to represent the motion and flow of movement.

Jupyter Notebook42Updated 1 year ago
analysisbehavior-analysisdeeplabcutneuroscience
FA
farhanaugustine/DABA-Dynamic_Animal_Behavior_Analysis

No description provided.

Python20Updated 10 months ago
animalbehavioranalysisanimaltrackingcodegenerationdeeplabcutmouse-trackingollamapythonquantative-analysis
FA
farhanaugustine/3D_Mitochondrial_Analysis_Script

No description provided.

Jupyter Notebook00Updated 10 months ago
FA
farhanaugustine/Mito_Analysis_of_Z-projections

No description provided.

Python00Updated 10 months ago
FA
farhanaugustine/YOLO_KeyPoint_Annotator

This repo presents two python scripts for YOLO KeyPoint Annotations. These are meant for annotating lab animals for scientific research, however, script's functionality flexiable for general use cases as well.

Python00Updated 10 months ago
FA
farhanaugustine/BehaviorAnalysis_YOLOv8

No description provided.

Python20Updated 1 year ago
FA
farhanaugustine/BehaviorDEPOT_Visualizations

This Repo contains Matlab scripts to aid in visualizing data ouput from BehaviorDEPOT.

MATLAB10Updated 1 year ago
FA
farhanaugustine/YOLOv8_Multi-Animal_Behavior_Analysis_Demo

No description provided.

Python00Updated 1 year ago
FA
farhanaugustine/ConvertFrames2OneHotFormat

I extract frames from a video using FFmpeg and identify interesting behaviors frame by frame. I then use a Jupyter script to parse out the frame numbers and create an annotation file, a CSV file, which can then be imported into our A-SOID project.

Jupyter Notebook10Updated 1 year ago
FA
farhanaugustine/NovelObject_Interaction_YOLOv8

No description provided.

Python00Updated 1 year ago
FA
farhanaugustine/Bonsai_DLC_BehaviorAnalysis

No description provided.

Python00Updated 1 year ago
FA
farhanaugustine/YOLOv8_Open-Field-Analysis

YOLOv8_CustomModel_Open-Field-Analysis

Jupyter Notebook00Updated 1 year ago

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