Skip to content
View datasith's full-sized avatar
🤖
learning from machines
🤖
learning from machines
95 followers · 10 following

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault ContributorAchievement: Public Sponsor

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault ContributorAchievement: Public Sponsor

Organizations

@acrobotic

Block or report datasith

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
datasith/README.md

datasith

I'm Cisco, aka @datasith.

• I am a data scientist (by day).

• My background is a mix of electrical engineering, robotics, and computer vision.

• My current interests lie on building computer vision architectures using hybrid (edge-cloud) infra.

• I (used to) run a YouTube channel to teach *anyone* about DIY electronics and data science.

• When I'm not coding I enjoy running 🏃 snowboarding 🏂 boxing 🥊 and watching/playing fútbol ⚽.

Gmail Badge LinkedIn Kaggle YouTube Resume Website

Selected Projects

🤖 Studying Robot-Fly Visual Interactions

Together with @peterpolidoro, we built a real-time, vision-based controlled, XY-stage to move a magnet within a chamber to study visually mediated responses of walking fruit flies.

Publications:

 Flyatar Robot-Fly Interactions Rig

🦟 Tracking Insect Wings and Body Kinematics

I built a 3D, high-speed video, auto-capture rig to observe visually mediated responses of flying fruit flies. The responses were elicited by a self-triggered LED chamber surrounding the flight volume.

Publications:

 Flytrax Motion Capture Rig

🏎️ Team Caltech - DARPA Urban Challenge

Together with fellow students, post-docs, and professors, we built an autonomous ground vehicle capable of maneuvering a 60 mile course in a mock urban environment in under 6 hours.

Publications:

Articles:

 Team Caltech at DGC '08

Tools and Tech

• Languages
• Platforms
• Utilities

Pinned Loading

  1. Ai_Tips_ESP8266 Ai_Tips_ESP8266 Public

    Code from my "ESP8266 Tips & Tricks" tutorial series on YouTube

    C++ 188 138

  2. Ai_Ardulib_SSD1306 Ai_Ardulib_SSD1306 Public

    Library for using SSD1306-powered OLED displays in the Arduino IDE.

    C++ 61 22

  3. Ai_Demos_ESP8266 Ai_Demos_ESP8266 Public

    Example code for using ESP8266 Development Boards with various electronic and mechanical components.

    C 91 54

  4. Ai_Demos_RPi Ai_Demos_RPi Public

    Example code for using different Raspberry Pi boards with various electronic and mechanical components.

    Python 82 22

  5. Ai_Demos_ESP32 Ai_Demos_ESP32 Public

    Example code for using ESP32 Development Boards with various electronic and mechanical components.

    C++ 61 37

  6. ds-experiments-yolov5-efficientnetv2 ds-experiments-yolov5-efficientnetv2 Public

    Sample code for an ensemble model comprised by YOLOv5 for detection and EfficientNetV2 for classification

    Jupyter Notebook 4