Skip to content
View PRITHIVSAKTHIUR's full-sized avatar
🎯
Focusing
🎯
Focusing

Organizations

@Stranger-Zone @Stranger-Guard

Block or report PRITHIVSAKTHIUR

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
PRITHIVSAKTHIUR/README.md

🤗 Hugging Face • 𝕏 Follow me on X • 💻 Kaggle • 📙 Multimodal Outpost • ⚡ Gist


Hi, I'm a Machine Learning Engineer, Hugging Face Fellow ML 🤗, Computer Vision Enthusiast.

🧳 Projects

🤗 New Models

💀 Archived Models

📃 Organization Pages

Pinned Loading

  1. Multimodal-Outpost-Notebooks Multimodal-Outpost-Notebooks Public

    This repository contains a curated collection of notebooks for implementing state-of-the-art multimodal Vision-Language Models (VLMs).

    Jupyter Notebook 20 3

  2. FineTuning-SigLIP-2 FineTuning-SigLIP-2 Public

    Fine-Tuning SigLIP 2 for Single/Multi-Label Image Classification. Image classification vision-language encoder model fine-tuned for Image Classification Tasks

    Jupyter Notebook 42 5

  3. OCR-ReportLab-Notebooks OCR-ReportLab-Notebooks Public

    A dedicated Colab notebooks to experiment (Nanonets OCR, Monkey OCR, OCRFlux 3B, Typhoo OCR 3B & more..) On T4 GPU - free tier

    Jupyter Notebook 22 3

  4. Flux-LoRA-DLC Flux-LoRA-DLC Public

    Experience the power of the FLUX.1-dev diffusion model combined with a massive collection of 255+ community-created LoRAs! This Gradio application provides an easy-to-use interface to explore diver…

    Python 13 1

  5. A Comprehensive Single-Shot Fine-Tun... A Comprehensive Single-Shot Fine-Tuning Code Snippet for SigLIP2 on Domain-Specific Downstream Image Classification Tasks.
    1
    # Fine-Tuning SigLIP2 for Image Classification | Script prepared by: hf.co/prithivMLmods
    2
    #
    3
    # Dataset with Train & Test Splits
    4
    #
    5
    # In this configuration, the dataset is already organized into separate training and testing splits. This setup is ideal for straightforward supervised learning workflows.
  6. FLUX-REALISM FLUX-REALISM Public

    A Gradio-based web application for generating hyper-realistic images using FLUX.1-dev with Super Realism LoRA enhancement. This application provides an intuitive interface for creating high-quality…

    Python 15 4