A Vision Transformer in ConvNet’s Clothing for Faster Inference

LeViT This repository contains PyTorch evaluation code, training code and pretrained models for LeViT. They obtain competitive tradeoffs in terms of speed / precision: For details see LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference by Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou and Matthijs Douze. If you use this code for a paper please cite: @article{graham2021levit, title={LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference}, author={Benjamin Graham and Alaaeldin El-Nouby and […]

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Visualize tensors in a plain Python REPL using Sparklines

sparkvis This is a library for visualizing tensors in a plain Python REPL using sparklines. I was sick of having to install jupyter on servers just to see a damn tensor. E.g. the FFT of MNIST looks like this: Quickstart pip3 install -U sparkvis python3 from sparkvis import sparkvis as vis vis(foo) foo can be a torch tensor, tf tensor, numpy array, etc. It supports anything with a .numpy() method. vis(a, b) will put ‘a’ and ‘b’ side by side. […]

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Searching through photos from the air of lost people in the forest with python

lacmus The program for searching through photos from the air of lost people in the forest using Retina Net neural nwtwork. The project is being developed by a non-profit organization Liza Alert. Demonstration Picture 1 Picture 2 Training data You can download Lacmus Drone Dataset (LaDD) from mail.ru cloud You also can download Lacmus version of Stenford Drone Dataset (SDD) from mail.ru cloud GitHub https://github.com/lacmus-foundation/lacmus    

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Segmentation toolbox for EM connectomics

pytorch_connectomics The field of connectomics aims to reconstruct the wiring diagram of the brain by mapping the neural connections at the level of individual synapses. Recent advances in electronic microscopy (EM) have enabled the collection of a large number of image stacks at nanometer resolution, but the annotation requires expertise and is super time-consuming. Here we provide a deep learning framework powered by PyTorch for automatic and semi-automatic semantic and instance segmentation in connectomics, which is called PyTorch Connectomics (PyTC). […]

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A Computer vision package that makes its easy to run Image processing

CVZone This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries. Installation You can simply use pip to install the latest version of cvzone. pip install cvzone 60 FPS Face Detection import cvzone import cv2 cap = cv2.VideoCapture(0) detector = cvzone.FaceDetector() while True: success, img = cap.read() img, bboxs = detector.findFaces(img) print(bboxs) cv2.imshow(“Image”, img) cv2.waitKey(1) Hand Tracking Basic Code Example import cvzone import cv2 […]

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GitHub self-hosted runner matrix build visualizations for Kubernetes

visualize-actions-matrix-builds-on-k8s This repository contains various GitHub Action workflows to trigger Matrix builds on self-hosted GitHub Action runners and visualize their outputs and pod allocations on LED matrices connected to Raspberry PI. Similar visualization scripts are also available for desktop PCs. Watch a one minute video how runners spin up based on a GitHub matrix build, wtach their pods in Kubernetes and see how they stream their work to a widget. … and another movie showing the LED matrix showing the […]

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Computer Vision based ID verification solution provided by LibraX

ID Verification by LibraX.ai This is the first free Identity verification in the market. LibraX.ai is an identity verification platform for developers. This solution is to verify user ID image for name matching, age, and basic fraud detection for ID. LibraX is providing to give this service for free as long as we are in business, and you can reach out to [email protected] for any add-on features or customized requirement. How to use the API? For ID Verfication use the […]

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Computational Methods for Physics & Astronomy

ComputationalMethods Computational Methods Course at UdeA. by: Sebastian Bustamante 2014/2015 Diego Restrepo ** 2017/… This course is intended for students of Astronomy and Physics at the Universidad de Antioquia and will cover some numerical methods commonly used in science and specially in astronomy. These topics will be addressed from a formal context but also keeping a practical and computational approach, illustrating many useful applications in problems of physics and astronomy. The practical component will be almost entirely developed in Python […]

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Quick Guide to AI and ML Universe for Business Leaders

This article was published as a part of the Data Science Blogathon. Introduction Ever since the advent of Globalisation, the environment in which a business operates is constantly changing. An important component of the business environment is the technological environment. Technology, also, as we all know is constantly changing, updating with new trends coming in every day. Thus, it becomes imperative for businesses to understand and keep up with the technology trends to survive in the market. One thing that […]

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A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. From face recognition cameras, smart personal assistants to self-driven cars. We are moving towards a world enhanced by these recent upcoming technologies. It’s the most exciting time to be in this career field! The global Artificial Intelligence market is expected to grow to $400 billion by the year 2025. From Startups to big organizations, all want to join […]

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