prantik-pdeb Goto Github PK

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-foundation-models-in-medical-imaging

A curated list of foundation models for vision and language tasks in medical imaging

awesome-medical-large-language-models

Curated papers on Large Language Models in Healthcare and Medical domain

awesome-neural-geometry

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

awesome-neuro-ai-papers

Papers from the intersection of deep learning and neuroscience

awesome-rlhf

A curated list of reinforcement learning with human feedback resources (continually updated)

awesome-segment-anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

best-les

google-cirq

Quantum Programming with Google Cirq 1.0

gsoc2022-qml

Quantum Convolutional Neural Networks for High Energy Physics Analysis at the LHC - Tasks

gsoc2023-ml4sci_qmlhep

methods_in_neuro

A list of links and resources for my Methods in Neuroimaging Course

ml-papers-explained

Explanation to key concepts in ML

ml4science_project

This study explores the application of super-resolution deep learning algorithms in reconstructing high-fidelity flow field data in fluid mechanics. Specifically, the effective- ness of SRCNN, VDSR, EDSR, and WDSR deep learning models in fluid flow datasets using objective metrics such as PSNR and MAE is evaluated.

pinn_system_biology

prantik-pdeb

Config files for my GitHub profile.

quantum-machine-learning

QML algorithms

sam4mis

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary