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Czech Technical University in Prague
- Prague, Czechia
- https://dmytro.ai
- @ducha_aiki
Highlights
- Pro
Stars
An Open Source Machine Learning Framework for Everyone
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
🐍 Geometric Computer Vision Library for Spatial AI
Python library for reading and writing image data
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy
Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor, GitHub Copilot, Gemini, etc.) and AI agents (Claude Desktop, OpenClaw, etc.). Su…
a programming library with geometric algorithms
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure stra…
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
A missing piece of the Python multitask (both threads and processes) API: An extension that supports stateful worker pools & size-aware iterators.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
(MIRROR of https://gitlab.com/vgg/vise) VGG Image Search Engine (VISE) is a standalone software for visual search of large image collections using image region as search query.
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
A collaboration friendly studio for NeRFs
Monocular Depth Estimation Toolbox based on MMSegmentation.
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and proces…
A Unified Framework for Surface Reconstruction
A curated list of awesome computer vision resources
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
🐦 Quickly annotate data from the comfort of your Jupyter notebook
The PatchCamelyon (PCam) deep learning classification benchmark.