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I'm Pritom, a Machine Learning Engineer 👩🏻‍💻 from Bangladesh and a Computer Vision (CV) 👀 and Natural Language Processing (NLP) ✍🏼 enthusiast. I am experienced in research, development and deployment of machine learning and deep learning models and accustomed to data analysis and visualization.


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Pritom Saha's Projects

ashbab icon ashbab

The repository for the Ashbab e-commerce application

ddu icon ddu

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

due icon due

Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".

dum-components icon dum-components

Training, Architecture, and Prior for Deterministic Uncertainty Methods (ICLR 2023 Workshop on Trustworthy ML)

gpn icon gpn

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

graphood-gnnsafe icon graphood-gnnsafe

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

natural-posterior-network icon natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

openood icon openood

Benchmarking Generalized Out-of-Distribution Detection

posterior-network icon posterior-network

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

power-supply-9v icon power-supply-9v

AC 220V to DC 9V power supply using 12-0-12 center tapped transformer.

rawnet icon rawnet

Author's repository for reproducing RawNet 1 and 2 papers with pre-trained model weights and speaker embeddings. RawNet2 is implemented in PyTorch and RawNet1 is implemented in PyTorch and Keras.

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