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14 stars written in Jupyter Notebook
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🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Jupyter Notebook 1,732 390 Updated Feb 23, 2025
Jupyter Notebook 790 260 Updated May 15, 2024

ADE20K Dataset

Jupyter Notebook 343 58 Updated Nov 10, 2024

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning

Jupyter Notebook 286 31 Updated Jan 16, 2024

A Pytorch implementation of DeepCrack and RoadNet projects.

Jupyter Notebook 275 82 Updated Dec 22, 2024

A journey into Convolutional Neural Network visualization

Jupyter Notebook 267 49 Updated Feb 19, 2019

Small projects to clarify big concepts

Jupyter Notebook 244 40 Updated Dec 11, 2023

My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

Jupyter Notebook 127 45 Updated Apr 4, 2021

Personal implementation for Stanford CS231n / Umich: Deep Learning for Computer Vision (by Justin Johnson)

Jupyter Notebook 69 17 Updated Dec 25, 2019

MVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning

Jupyter Notebook 66 9 Updated Oct 12, 2021

This repository will contain the note and code solotuion for the course Deep Learning for Computer Vision (EECS 498/598) offered by University of Michigan (by Prof.Justin Johnson)

Jupyter Notebook 4 1 Updated Sep 13, 2022

This repository contains code snippets used in my data science articles published on Medium.

Jupyter Notebook 3 Updated Dec 18, 2021

This project aims to rectify a projectively distorted image, first upto affine level and then to metric level.

Jupyter Notebook 2 3 Updated Jul 31, 2020

This repository contains my solution to the assignments of the "EECS 498-007 / 598-005 Deep Learning for Computer Vision" course made by Michigan University Fall 2020.

Jupyter Notebook 1 1 Updated Mar 31, 2021