bhargobdeka
I am a machine learning researcher with an ardent interest in building GenAI solutions for buisness-use cases.
@CivML-PolyMtl Montreal, Canada
Pinned Repositories
advanced-RAG-app
This repository will consist of advanced RAG applications.
AGVI-python
This is the python package for approximate Gaussian variance inference: an analytical method for quantifying uncertainty in time series modeling
Bayesian-Neural-Networks
This repository shows different Bayesian Neural Networks available for predictive uncertainty.
cuTAGI
CUDA implementation of Tractable Approximate Gaussian Inference
Fine-Tuning-Tasks
This repository contains coding tutorials on fine-tuning transformer models, either full or parameter efficient.
multi-agent-apps
This repository will contain projects on multi-agent applications using frameworks such as crewai, langchain, gradio, hugging face etc.
OpenBDLM
Bayesian Dynamic Linear Models for time-series analysis
PDF-Summarizer
RAG-chatbot-Speckly
This project presents a RAG chat app for the Speckle Developer Documentation.
Real-estate-ML
This repository provides ML codes for real estate datasets.
bhargobdeka's Repositories
bhargobdeka/Bayesian-Neural-Networks
This repository shows different Bayesian Neural Networks available for predictive uncertainty.
bhargobdeka/DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
bhargobdeka/Web-scrapping
This is a simple web scrapping project on scrapping data from webpages using packages like Beautiful Soup, Scrapy, selenium and storing scrapped data into .csv files
bhargobdeka/Noise-Inference
A Package for online estimation of noise covariance matrix in state-space models and neural networks.
bhargobdeka/github-slideshow
A robot powered training repository :robot:
bhargobdeka/deterministic-variational-inference
Sample code for running deterministic variational inference to train Bayesian neural networks