Piotr Skalski's repositories
Free to use online tool for labelling photos. https://makesense.ai
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.
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.
Each week I create sketches covering key Computer Vision concepts. If you want to learn more about CV stick around!
This repository contains all my small projects related with Data Science and Machine Learning.
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.
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! 🤪
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
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
Huggingface utilities for Ultralytics/YOLOv8
Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
Template https://makesense.ai inference server. Use your pre-trained model to automate annotation process.
Easy & Modular Computer Vision Detectors and Trackers - Run YOLOv7,v6,v5,R,X in under 20 lines of code.
[Preprint] OneFormer: One Transformer to Rule Universal Image Segmentation, 2022
one-click deepfake (face swap)
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.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Packaged version of ultralytics/yolov5 + many extra features
YOLOv6: a single-stage object detection framework dedicated to industrial applications.