Daniel Angelov (23pointsNorth)

23pointsNorth

Geek Repo

Home Page:angelov.ai

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ipab-rad

Daniel Angelov's repositories

dust3r

DUSt3R: Geometric 3D Vision Made Easy

License:NOASSERTIONStargazers:0Issues:0Issues:0

ros2_documentation

ROS 2 docs repository

License:CC-BY-4.0Stargazers:0Issues:0Issues:0

apriltag_ros

ROS2 node for AprilTag detection

License:MITStargazers:0Issues:0Issues:0

Depth-Anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

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

apriltag

AprilTag is a visual fiducial system popular for robotics research.

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fiftyone

The open-source tool for building high-quality datasets and computer vision models

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phobos

An add-on for Blender allowing to create URDF, SDF and SMURF robot models in a WYSIWYG environment.

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Pi-Somfy

A script to open and close your Somfy (and SIMU) blinds with a Raspberry Pi and an RF emitter.

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super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

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

sam-hq

Segment Anything in High Quality

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scikit-image

Image processing in Python

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Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

License:MITStargazers:0Issues:0Issues:0

ZoeDepth

Metric depth estimation from a single image

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DABA

Official implementation of "Decentralization and Acceleration Enables Large-Scale Bundle Adjustment"

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Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.

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Towards-Realistic-Generative-3D-Face-Models

3D face model that can generate high-quality mesh and texture

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procthor

🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses

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

Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

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metrics

Machine learning metrics for distributed, scalable PyTorch applications.

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wgisd

Embrapa Wine Grape Instance Segmentation Dataset - Embrapa WGISD

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djongo

Django and MongoDB database connector

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vision

Datasets, Transforms and Models specific to Computer Vision

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

awesome-mlops

A curated list of references for MLOps

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synth_doc_generation

Official PyTorch Implementation of DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis - ICDAR 2021

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

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Automold--Road-Augmentation-Library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

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deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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cleanlab

Find label errors in datasets, weak supervision, and learning with noisy labels.

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