Piotr Skalski's repositories
make-sense
Free to use online tool for labelling photos. https://makesense.ai
awesome-chatgpt-code-interpreter-experiments
Awesome things you can do with ChatGPT + Code Interpreter combo π₯
top-cvpr-2023-papers
This repository is a curated collection of the most exciting and influential CVPR 2023 papers. π₯ [Paper + Code]
awesome-foundation-and-multimodal-models
ποΈ + π¬ + π§ = π€ Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
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! π€
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.
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! π€ͺ
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
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
ultralytics-chatgpt
NEW - YOLOv8 π in PyTorch > ONNX > CoreML > TFLite
autodistill
Images to inference with no labeling (use foundation models to train supervised models)
ultralyticsplus
Huggingface utilities for Ultralytics/YOLOv8
autodistill-yolov8
YOLOv8 Target Model plugin for Autodistill
ProPainter
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
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.
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
yolov5-pip
Packaged version of ultralytics/yolov5 + many extra features