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127.0.0.1

Piotr Skalski

Elite
@SkalskiP

Open Source Lead @roboflow | Founder @ makesense.ai

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

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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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vlms-zero-to-hero. This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

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awesome-chatgpt-code-interpreter-experiments. Awesome things you can do with ChatGPT + Code Interpreter combo 🔥

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top-cvpr-2025-papers. About This repository is a curated collection of the most exciting and influential CVPR 2025 papers. 🔥 [Paper + Code + Demo]

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top-cvpr-2024-papers. This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]

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top-cvpr-2023-papers. This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]

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awesome-foundation-and-multimodal-models. 👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

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sports. Cool experiments at the intersection of Computer Vision and 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!

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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! 🤪

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SoM. Unofficial implementation and experiments related to Set-of-Mark (SoM) 👁️

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Machine_Learning_A-Z. Repository contains tasks and exercises made during Udemy course Machine Learning A-Z that I completed in 2017.

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onemetric. One Metrics Library to Rule Them All!

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yolov5js. Effortless YOLOv5 javascript deployment

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yolov9. Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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ai-demos. Jupyter Notebook

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

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SkalskiP.

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yolov8-native-tracking. Python

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gradio_image_annotator. A component that allows you to annotate an image with points and boxes.

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yoloe. YOLOE: Real-Time Seeing Anything

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segment-anything-2. The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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YOLO-World. Real-Time Open-Vocabulary Object Detection

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yolov10. YOLOv10: Real-Time End-to-End Object Detection

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MIT_Introduction_to_Computational_Thinking_and_Data_Science. My first repository related to Data Science and Machine Learning. The repository contains the issues discussed during MIT Open Course: 6.0002 - Introduction to Computational Thinking and Data Science.

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Data_Analysis_with_Pandas. Repository contains tasks and exercises that were made during Udemy Pandas course. I decided to do this course to broaden my knowledge of Pandas library, which is one of the most important tools that I use during Data Science and Machine Learning projects.

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vision-language.

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TensorFlow_for_Deep_Learning. Jupyter Notebook

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edu. Educational materials on deep learning by Weights & Biases

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soccer_tracker. Python

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InvasionSimulator. Invasion Simulator is an educational application created to test and visualize different methods of position determination, based on RSSI. In our application we simulate case when three antennas located in different places, emirate signal picked by the robot. The robot does not know the position of the antennas or its own. Based on the distribution of signals on the board, the robot must decide whether it is located inside the triangle formed by the antenna. The application allows you to visualize the distribution of signal strength in the form of a heat map as well as separate visualization of individual methods.

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yolo-chess-workshop. Shell

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Qwen2.5-VL. Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

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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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ultralytics-chatgpt. NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

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ILearnComputerVision.py. Jupyter Notebook

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ultralyticsplus. Huggingface utilities for Ultralytics/YOLOv8

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