Skip to content
View abhinand5's full-sized avatar

Block or report abhinand5

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
abhinand5/README.md

Abhinand

Typing SVG

total stars followers
views

πŸ“˜ My Top Open Source Projects

tamil-llama gptq_for_langchain MedEmbed

All Repositories

πŸ› οΈ My Favorite Tools

πŸ‘¨β€πŸ’» Programming and Markup Languages

Python Go JavaScript C++ SQL

🧰 Frameworks and Libraries

PyTorch TensorFlow NumPy Pandas FastAPI Flask Node.js

πŸ—„οΈ Databases and Cloud Hosting

PostgreSQL MongoDB AWS Google Cloud Docker Kubernetes

πŸ“Š Github Stats and Activity

πŸ’» GitHub Profile Stats

Abhinand's Github Stats Abhinand's Top Languages

Note: Top languages is only a metric of the languages my public code consists of and doesn't reflect experience or skill level. I certainly code more in Python and Go than JS :)

πŸ† GitHub Trophies


πŸ‘‹ Thanks for visiting! Here's a random joke that'll make you smile!

Jokes Card

Pinned Loading

  1. tamil-llama tamil-llama Public

    A New Tamil Large Language Model (LLM) Based on Llama 2

    Python 262 35

  2. MedEmbed MedEmbed Public

    MedEmbed is a collection of embedding models fine-tuned specifically for medical and clinical data.

    Python 22 2

  3. gptq_for_langchain gptq_for_langchain Public

    A guide about how to use GPTQ models with langchain

    Jupyter Notebook 40 9

  4. isolated-sign-language-recognition isolated-sign-language-recognition Public

    Google - Isolated Sign Language Recognition (Kaggle Competition) - BRONZE MEDAL WINNING SOLUTION

    Python 9

  5. ml-notebooks-101 ml-notebooks-101 Public

    Beginner-friendly implementations of ML algorithms for various problems

    Jupyter Notebook 23 7