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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awesome-chatgpt-code-interpreter-experiments

Awesome things you can do with ChatGPT + Code Interpreter combo πŸ”₯

top-cvpr-2023-papers

This repository is a curated collection of the most exciting and influential CVPR 2023 papers. πŸ”₯ [Paper + Code]

awesome-foundation-and-multimodal-models

πŸ‘οΈ + πŸ’¬ + 🎧 = πŸ€– Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

sport

Examples of Computer Vision usage in sports βš½πŸƒ

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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!

transformers

Everything you need to know about Transformers! πŸ€–

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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SoM

Unofficial implementation and experiments related to Set-of-Mark (SoM) πŸ‘οΈ

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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! πŸ€ͺ

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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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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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yolov7

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

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roop

one-click deepfake (face swap)

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ultralytics-chatgpt

NEW - YOLOv8 πŸš€ in PyTorch > ONNX > CoreML > TFLite

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autodistill

Images to inference with no labeling (use foundation models to train supervised models)

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ByteTrack

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

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ultralyticsplus

Huggingface utilities for Ultralytics/YOLOv8

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autodistill-yolov8

YOLOv8 Target Model plugin for Autodistill

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mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

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ProPainter

[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

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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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