Stars
AUTesting(Automatic Unit testing) is project for generating tests with rescue ChatGPT. The main purpose this project is helping c/c++ developer with unit testing written code.
Create markdown-based reveal.js presentations in Obsidian
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
SuperPoint replace the sift in colmap framework
OpenCV, NumPy, Image Processing, Face detection and recognition
Registration Loss Learning for Deep Probabilistic Point Set Registration
VIP cheatsheets for Stanford's CS 229 Machine Learning
Collection of Summer 2025 tech internships!
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
VIP cheatsheets for Stanford's CS 230 Deep Learning
Repository containing lectures from 2023 Machine Learning course
Learning Python 5th edition Code (Mark Lutz)
Python Implementation for Simple Bundle Adjustment
A latent text-to-image diffusion model
A curated list of papers & resources linked to 3D reconstruction from images.
ESAC - Expert Sample Consensus Applied To Camera Re-Localization
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
Code for CVPR 2018 paper --- Texture Mapping for 3D Reconstruction with RGB-D Sensor
Информация о внутренней кухне Тинькофф, включая подготовку к собеседованию