Bhargob Deka's Projects
This repository will consist of advanced RAG applications.
This is the python package for approximate Gaussian variance inference: an analytical method for quantifying uncertainty in time series modeling
The package provides a new method for the online inference of error variance parameter for both univariate and multivariate errors.
This is an ATS Resume Analyzer using the Gemini Pro model through Vertex AI and the magic of prompt engineering.
This repository shows different Bayesian Neural Networks available for predictive uncertainty.
LLM agents for BIM Information Retrieval
In this repository I will provide codes for performing various computer vision tasks such as classification, object detection and image segmentation.
CUDA implementation of Tractable Approximate Gaussian Inference
This repository shows the application of the deep ensembles method in case of multi-output regression tasks. The original code is from the PyTorch implementation by Lakshminarayanan et al. (2016) -> https://arxiv.org/abs/1612.01474
PyTorch implementation of Lakshminarayanan et. al (2016) https://arxiv.org/abs/1612.01474
Sample code for running deterministic variational inference to train Bayesian neural networks
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
This repository focuses on generating images of healthy and non-healthy houseplants using some real data with the help of Generative Adversarial Networks
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
A robot powered training repository :robot:
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This is an end-to-end project for classifying whether an image of a houseplant is healthy or not (wilted)
Laplace approximations for Deep Learning.
This project delves into LLM-powered agents created using LangChain and LangGraph. It will contain notebooks used for my blog writing.
This repository will contain projects on multi-agent applications using frameworks such as crewai, langchain, gradio, hugging face etc.
A Package for online estimation of noise covariance matrix in state-space models and neural networks.
Bayesian Dynamic Linear Models for time-series analysis
Code and Data for the Second Edition of "Practical SQL" by Anthony DeBarros, published by No Starch Press (2022).
In this repository, I will provide different ways of building RAG chat models using the Langgchain framework.
This project presents a RAG chat app for the Speckle Developer Documentation.
This repository provides ML codes for real estate datasets.