Piotr Skalski (SkalskiP)

SkalskiP

Geek Repo

Company:@roboflow

Location:127.0.0.1

Home Page:https://www.makesense.ai

Twitter:@skalskip92

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Piotr Skalski's repositories

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

make-sense

Free to use online tool for labelling photos. https://makesense.ai

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ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

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sport

Examples of Computer Vision usage in sports ⚽🏃

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ILearnMachineLearning.js

Thanks to this project I could combine my knowledge from two areas: machine learning and web development. The whole application is written in React using TypeScript and Redux, but the engine that drives it is TensorFlow.js - a modern library for training and deploying machine learning models.

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sketchy-vision

Each week I create sketches covering key Computer Vision concepts. If you want to learn more about CV stick around!

ILearnMachineLearning.py

This repository contains all my small projects related with Data Science and Machine Learning.

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fashion-assistant

Our idea is to combine the power of computer vision model and LLMs. We use YOLO, CLIP and DINOv2 to extract high-level features from images. We pass the prompt, along with the extracted features, to LLM, allowing for advanced image dataset queries.

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yolov8-live

A short script showing how to build simple real-time video analytics apps using YOLOv8 and Supervision. Try it out, and most importantly have fun! 🤪

ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

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ByteTrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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ossinsight

Open Source Software Insights - Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 5 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight

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ultralyticsplus

Huggingface utilities for Ultralytics/YOLOv8

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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Grounded-Segment-Anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

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make-sense-inference

Template https://makesense.ai inference server. Use your pre-trained model to automate annotation process.

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AS-One

Easy & Modular Computer Vision Detectors and Trackers - Run YOLOv7,v6,v5,R,X in under 20 lines of code.

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OneFormer

[Preprint] OneFormer: One Transformer to Rule Universal Image Segmentation, 2022

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roop

one-click deepfake (face swap)

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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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.

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yolov5-pip

Packaged version of ultralytics/yolov5 + many extra features

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YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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