Skip to content
View TRY-ER's full-sized avatar

Block or report TRY-ER

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
TRY-ER/README.md

Hi there, I'm Debasish! πŸ‘‹

Welcome to my GitHub profile! I'm a Ph.D. student specializing in Material Science and Polymer Science. I find coding exhilarating, as it allows me to explore and express logical concepts. My research passion lies in AI, particularly in developing computational representation mechanisms for polymers in cheminformatics. Beyond my academic pursuits, I've worked with various tech stacks to foster innovation and entrepreneurship, including AR/VR, Generative AI, and Web Development.

πŸš€ About Me

  • πŸ”­ I’m currently working with DeepChem and BigSMILES
  • 🌱 I’m currently learning Rust and Bend
  • πŸ‘― I’m looking to collaborate on open source projects
  • πŸ’¬ Ask me about Chemistry, Polymer Research, Generative AI and more
  • πŸ“« How to reach me: availdebasish@gmail.com
  • ⚑ Fun fact: I love coding with Research

πŸ› οΈ Technology and Tools

Python PyTorch DeepChem Pandas FastAPI Django Redis JavaScript React Git GitHub VS Code NeoVim Linux

🌐 Domains

Artificial Intelligence Cheminformatics Computational Chemistry Material Science Polymer Science Material / Molecular Discovery Natural Language Processing

πŸ”₯ Languages Used

Top Langs

πŸ“‚ Top Projects

Project 1

  • Description: Working on integration of weighted directed graph representation and BigSMILES representation integration into deepchem ecosystem.

Project 2

  • Description: Perovskite Solar Cells (PSCs) have shown great potential in recent years due to their high efficiency and relatively low production cost. Predicting the Power Conversion Efficiency (PCE) accurately is crucial for the development and optimization of these solar cells. This project leverages advanced machine learning techniques to provide accurate PCE predictions based on various input parameters.

πŸ“¬ Get in Touch

Thanks for stopping by! Let's build something amazing together! πŸš€

Pinned Loading

  1. deepchem/deepchem deepchem/deepchem Public

    Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

    Python 5.6k 1.7k

  2. langchain-ai/langchain langchain-ai/langchain Public

    πŸ¦œπŸ”— Build context-aware reasoning applications

    Jupyter Notebook 96.2k 15.6k

  3. run-llama/llama_index run-llama/llama_index Public

    LlamaIndex is a data framework for your LLM applications

    Python 37.3k 5.4k

  4. PSC_Regressor PSC_Regressor Public

    Repository storing the regressor model training and evaluation for PCE of PSCs.

    Jupyter Notebook

  5. IndicTTSCustom IndicTTSCustom Public

    Jupyter Notebook

  6. wix_connector wix_connector Public

    Python