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Achievement: Pair Extraordinaire

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Achievement: Pair Extraordinaire

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thivyanth/README.md

⚠️ Note: This website may not be up to date with the latest information. For the most current details about my work and research, please contact me directly or check my profile links.

Hi There 👋, Welcome to Thivyanth Venkateswaran's Profile Page!

About Me

Hello! I'm Thivyanth Venkateswaran, a 3rd-year engineering undergraduate at the Indian Institute of Technology Bombay (IIT Bombay), specializing in Machine Learning.

📄 CV/Resume: thivyanth.github.io/cv

🔍 More About Me: thivyanth.github.io/about

Research Interests

I'm deeply engaged in research with a focus on:

  • Multimodal Learning
  • Reinforcement Learning
  • Robot Learning
  • Reasoning
  • Generative Modeling
  • Test Time Learning

I'm always looking to collaborate on projects and research that push the boundaries of AI.

Publications

Google Scholar Profile

While I don't have any publications yet, I'm actively working on research that I hope will lead to publications soon. Some of my work is under review and will be published soon. Stay tuned for updates!

My Work

I undertake various ML research projects and have been involved in some competitions and research projects. Some highlights of my work include:

RoboDrive Competition (ICRA 2024)

Focused on robust multi-modal BEV 3D object detection for autonomous driving systems.

Diffusion Model Optimization Research

Working with Prof. Biplab Banerjee on optimizing diffusion models for downstream tasks using reinforcement learning.

For a detailed overview of my projects and publications, explore my portfolio.

Let's Connect

I'm open to academic collaborations and industry partnerships that leverage AI to solve real-world problems. If you're interested in working together, please reach out through my website where you can also find more information about my past work and future endeavors.

Thank you for visiting my profile!

Pinned Loading

  1. grp grp Public

    This project implements a Generalist Robotics Policy (GRP) using a Vision Transformer (ViT) architecture. The model is designed to process multiple input types, including images, text goals, and go…

    Python

  2. ppo_clip_gae_cartpole ppo_clip_gae_cartpole Public

    PPO Implementation for Cart-pole Balancing | I implemented PPO to solidify and apply my RL concepts.

    Python 2

  3. ddpo ddpo Public

    This is an implementation of CLIP-Reward in Denoising DIffusion Policy Optimization (DDPO)

    Python

  4. kan kan Public

    This repository contains an implementation of Kolmogorov-Arnold Neural Networks (KAN) using PyTorch. The project demonstrates the application of KAN in classifying handwritten digits from the MNIST…

    Jupyter Notebook

  5. deeplabv3-raytune deeplabv3-raytune Public

    This repository contains a Jupyter notebook for semantic segmentation using the DeepLabV3 model with a ResNet-50 backbone. The notebook demonstrates the process of loading data, training the model,…

    Jupyter Notebook

  6. chatgpt_github_assistant_api.yaml chatgpt_github_assistant_api.yaml
    1 
    openapi: 3.1.0
    2 
    info:
    3 
      title: GitHub Repository API
    4 
      description: API for interacting with a GitHub repository, including reading files, making changes, committing changes,
    5 
        and listing repositories.