Skip to content
View saikiranpennam's full-sized avatar
:atom:
Constant deprivation
:atom:
Constant deprivation
1 follower · 5 following
  • USA

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Block or report saikiranpennam

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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
saikiranpennam/README.md

Hi 👋, I'm Sai

Aspiring Machine Learning Engineer

  • 🔭 I'm currently working on Cyber Security project and Generative AI

  • 🌱 I'm currently learning LLM Inference & Mechanistic Interpretability

  • 👯 I'm looking to collaborate on projects associated with generative ai

  • 🤝 I'm looking for help with backend projects, AI for cybersecurity, computer vision, MLOps

  • 💬 Ask me about Python, Machine Learning, Deep Learning, Computer Vision

  • 📫 How to reach me saikiran.pennam@icloud.com

Connect with me:

saikiranpennam saikiranpennam

Languages and Tools:

aws azure blender cplusplus docker fastapi git huggingface jupyter kubernetes matplotlib mysql numpy opencv pandas postgresql python pytorch scikit_learn seaborn streamlit tensorflow unity

Pinned Loading

  1. segmentation_using_sam.ipynb segmentation_using_sam.ipynb
    1 
    {
    2 
      "nbformat": 4,
    3 
      "nbformat_minor": 0,
    4 
      "metadata": {
    5 
        "colab": {
  2. A-Study-of-Resiliency-of-Large-Networks-to-Worm-Propagation A-Study-of-Resiliency-of-Large-Networks-to-Worm-Propagation Public

    The purpose of this repository is to study the propagation of worm on the three different types of networks through simulation when no cure (that is, worm defense) is applied. In other words, the w…

    Jupyter Notebook

  3. A Computer Vision project which I wa... A Computer Vision project which I was testing during the initial stages of my project.
    1 
    def detect_face(frame, cascade):
    2 
        frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    3 
        frame_gray = cv2.equalizeHist(frame_gray)
    4 
        #-- Detect faces
    5 
        faces = cascade.detectMultiScale(frame_gray)
  4. deeplabv3_implementation_for_plant_d... deeplabv3_implementation_for_plant_disease.ipynb
    1 
    {
    2 
      "nbformat": 4,
    3 
      "nbformat_minor": 0,
    4 
      "metadata": {
    5 
        "colab": {