Projects in Awesome Lists by SkalskiP

https://github.com/skalskip/courses

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

computer-vision deep-learning deep-neural-networks generative-model machine-learning mlops multimodal natural-language-processing nlp stable-diffusion transformers tutorial

Last synced: 14 May 2025

https://github.com/SkalskiP/courses

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

computer-vision deep-learning deep-neural-networks generative-model machine-learning mlops multimodal natural-language-processing nlp stable-diffusion transformers tutorial

Last synced: 26 Mar 2025

https://github.com/skalskip/make-sense

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

computer-vision deep-learning detection image-annotation labeling-photos labeling-tool landmark-detection object-detection pascal-voc posenet-model ssd-model tagging

Last synced: 14 May 2025

https://github.com/SkalskiP/make-sense

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

computer-vision deep-learning detection image-annotation labeling-photos labeling-tool landmark-detection object-detection pascal-voc posenet-model ssd-model tagging

Last synced: 26 Mar 2025

https://github.com/skalskip/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.

computer-vision deep-learning deep-learning-tutorial neural-network numpy visualizations

Last synced: 08 Apr 2025

https://github.com/SkalskiP/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.

computer-vision deep-learning deep-learning-tutorial neural-network numpy visualizations

Last synced: 01 May 2025

https://github.com/skalskip/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.

bert-model clip computer-vision embeddings gpt gpt-2 lora natural-language-processing seq2seq vision-language-model word2vec

Last synced: 15 May 2025

https://github.com/skalskip/top-cvpr-2024-papers

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

computer-vision cvpr cvpr2024 image-segmentation object-detection paper transformers vision-and-language

Last synced: 04 Apr 2025

https://github.com/skalskip/top-cvpr-2023-papers

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

computer-vision cvpr cvpr2023 image-segmentation object-detection paper transformers vision-and-language

Last synced: 04 Apr 2025

https://github.com/SkalskiP/top-cvpr-2023-papers

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

computer-vision cvpr cvpr2023 image-segmentation object-detection paper transformers vision-and-language

Last synced: 03 May 2025

https://github.com/skalskip/sports

Cool experiments at the intersection of Computer Vision and Sports ⚽🏃

computer-vision deep-learning deep-neural-networks gpt-4 gpt-4-vision object-detection prompt-engineering pytorch sports-analytics tutorial yolov5 yolov7

Last synced: 05 Apr 2025

https://github.com/SkalskiP/sports

Cool experiments at the intersection of Computer Vision and Sports ⚽🏃

computer-vision deep-learning deep-neural-networks gpt-4 gpt-4-vision object-detection prompt-engineering pytorch sports-analytics tutorial yolov5 yolov7

Last synced: 06 Apr 2025

https://github.com/skalskip/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.

Last synced: 19 Dec 2024

https://github.com/skalskip/sketchy-vision

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

computer-vision convolutional-neural-networks deep-learning neural-network non-maximum-suppression numpy object-detection

Last synced: 14 Apr 2025

https://github.com/skalskip/transformers

Everything you need to know about Transformers! 🤖

attention-mechanism clip detr gpt transformers visual-transformer

Last synced: 30 Mar 2025

https://github.com/skalskip/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.

computer-vision llm natural-language-processing openai openai-api yolo

Last synced: 15 Apr 2025

https://github.com/skalskip/som

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

chatgpt computer-vision gpt-4 multimodal

Last synced: 22 Apr 2025

https://github.com/skalskip/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! 🤪

real-time supervision video-analysis video-processing video-streaming webcam yolo yolov8

Last synced: 27 Apr 2025

https://github.com/skalskip/machine_learning_a-z

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

Last synced: 30 Apr 2025

https://github.com/skalskip/onemetric

One Metrics Library to Rule Them All!

computer-vision deep-learning machine-learning metrics object-detection

Last synced: 14 Apr 2025

https://github.com/skalskip/yolov5js

Effortless YOLOv5 javascript deployment

ai deep-learning deep-neural-networks javascript machine-learning tensorflowjs typescript yolo yolov5

Last synced: 30 Apr 2025

https://github.com/skalskip/ai-demos

Last synced: 01 May 2025

https://github.com/skalskip/ilearnmachinelearning.py

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

Last synced: 30 Apr 2025

https://github.com/skalskip/yolov8-native-tracking

Last synced: 30 Apr 2025

https://github.com/skalskip/skalskip

Last synced: 30 Mar 2025

https://github.com/skalskip/gradio_image_annotator

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

Last synced: 20 Mar 2025

https://github.com/skalskip/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.

Last synced: 07 May 2025

https://github.com/skalskip/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.

Last synced: 09 May 2025

https://github.com/skalskip/vision-language

Last synced: 22 Apr 2025

https://github.com/skalskip/fast-as-hell

Last synced: 07 May 2025

https://github.com/skalskip/snake_game

First game written in Python using PyGame library. Simple Snake game with some points counter, obsticles, power-ups and hero transformation.

Last synced: 09 May 2025

https://github.com/skalskip/boitzo

Last synced: 09 May 2025

https://github.com/skalskip/tensorflow_for_deep_learning

Last synced: 12 May 2025

https://github.com/skalskip/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.

Last synced: 09 May 2025