Arnab Biswas (arnabiswas)

arnabiswas

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Company:University of Nevada, Reno

Home Page:arnabiswas.github.io

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Arnab Biswas's repositories

Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

License:Apache-2.0Stargazers:0Issues:0Issues:0

DeepLabCut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

License:LGPL-3.0Stargazers:0Issues:0Issues:0

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

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MedSAM

This the official repository for MedSAM: Segment Anything in Medical Images.

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CLIP_prefix_caption

Simple image captioning model

License:MITStargazers:0Issues:0Issues:0

mediapipe_demo_bdss

Face and hand detection demos using webcam based on the mediapipe package.

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DeepCore

Code for coreset selection methods

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StyleNeRF

This is the open source implementation of the ICLR2022 paper "StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis"

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CS791

Project: Predicting mTBI Status using EEG data

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Same-Size-K-Means

A k-means variation that produces clusters of the same size utilizing the scikit-learn API and related utilities

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

FAED-50-Dataset-for-DE-Eye

A finely annotated eye dataset denoted as FAED-50 has been built and published to give all researchers working in the area of eye localization the possibility to compare the quality of their eye localization algorithms with others. During the annotation, the complete contour of the eye including the pupil, iris, upper eyelid and lower eyelid are labelled. Therefore, the dataset can be used not only for the test of pupil localization or iris localization, but also for the segmentation of eyes. The images are captured under the near-infrared environment with a low-cost camera.

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Mathematics-Textbooks

"It is the story that matters not just the ending."― Paul Lockhart

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nh2020-curriculum

Materials for NH2020

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PRML

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

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arnabiswas.github.io

Personal website

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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paper-compilation

A collection of papers

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PyTorchSteerablePyramid

PyTorch implementation of the Complex Steerable Pyramid

License:MITStargazers:0Issues:0Issues:0