RahulSundar
Teaching machines to compute, learn and work with as little data.
Bio-mimetics Lab, Indian Institute of Technology MadrasChennai
Pinned Repositories
speeKAR
Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interface
CFDDataExtractionTools
This repository shall house the data extraction, inteprolation and other miscellaneous pre processing scripts used for (a) Data storage (b) data post processing and (c) data generation in ML work loads.
ANNS_ODES_PDES
Artificial Neural Networks are universal approximators and in this project, I aim to study the effectiveness of ANNs over traditional numerical methods to solve engineering problems. Specifically statics and dynamics of mechanical structures and non linear odes are looked into for applications. This work is based on the book by Prof Snehashish Chakraverty and Dr. Sumit Kumar Jeswal. I aim to validate their claims in the book "Applied Artificial Neural Network Methods for Engineers and Scientists" and also arrive at possible extensions to the methods discussed in the book.
Art-of-Code-A-pythonic-approach
This repository is a part of an online course taken by me for School kids to teach them the fundamental idea behind programming and computer science. This course was primarily taught using Python.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
CS6910-DeepLearningFundamentals
This repository contains my assignment submissions including datasets, code, documentation and results.
DeepLearningTutorial
Tutorial on a number of topics in Deep Learning
DL-From-Scratch
As a learning exercise I reolved to build a simple Feed Forward Neural network from scratch.
dlaicourse
Notebooks for learning deep learning
Things-a-scientist-is-suppposed-to-know
RahulSundar's Repositories
RahulSundar/InnoGuideGPT
RahulSundar/ChatBotProject_BhoomiNestham2.0
RahulSundar/allGPT
It has everything and anything needed to talk to files using LLMs
RahulSundar/awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
RahulSundar/Awesome-LLM-Compression
Awesome LLM compression research papers and tools.
RahulSundar/ChatBotProject
A standard repository covering basic to advanced RAG pipelines using both Llama-Index and and Langchain.
RahulSundar/DeepReinforcementLearning_RayleighBenard2D_Control
Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.
RahulSundar/devika
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
RahulSundar/DN_PINN
Implementaion of Dynamically Normalized Physics-Informed Neural Networks in TensorFlow
RahulSundar/freeGPT
A free version of Generative AI powered package which augments search based on documents
RahulSundar/gorilla
Gorilla: An API store for LLMs
RahulSundar/grok
RahulSundar/jaxpi
RahulSundar/LangChain-for-LLM-Application-Development
Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.
RahulSundar/LDNets_Updates
RahulSundar/mimicgen_environments
This code corresponds to simulation environments used as part of the MimicGen project.
RahulSundar/odil-trials
RahulSundar/Optimus
This code corresponds to transformer training and evaluation code used as part of the OPTIMUS project.
RahulSundar/PDEBench
PDEBench: An Extensive Benchmark for Scientific Machine Learning
RahulSundar/PhyLSTM
We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
RahulSundar/PI-VAE
implementation of physics-informed variational auto-encoder
RahulSundar/poseidon
Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
RahulSundar/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
RahulSundar/RAG-and-Fine-Tuning
A Tutorial on RAG and Fine-Tuning LLMs
RahulSundar/rag-ebook
A Practical Approach to Retrieval Augmented Generation (RAG) Systems - Ebook
RahulSundar/RahulSundar
RahulSundar/Spatio-Temporal-Learning-of-Turbulent-Flows
Autoregressive Transformers for Data-Driven Spatio-Temporal Learning of Turbulent Flows
RahulSundar/st-moe-pytorch
Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch
RahulSundar/streamlit-stt-app
Real time web based Speech-to-Text app with Streamlit
RahulSundar/VIMA
Official Algorithm Implementation of ICML'23 Paper "VIMA: General Robot Manipulation with Multimodal Prompts"