ViewTube

Between April-September 2020, electrical and computer engineering student Isha Ghodgaonkar and colleagues analyzed 0.5 ...

Unlock the power of AI with this incredible tutorial! Learn how to create a Cat vs. Dog Classifier using the FastAI library in under 50 ...

Presento y explico uno de mis últimos encargos, una cerradura mágica que solo se abre al hacer un movimiento concreto con ...

i have made this project using python libraries - openCV for drawing - Mediapipe for handTracking.

Gajendra Deshpande presents "Investigating Digital Crimes using Python" For the questions about the talk to the original speaker, ...

Mamba is a new neural network architecture that came out this year, and it performs better than transformers at language ...

In this video, I walk through the training and optimization of a CNN model on the BreastMNIST dataset, discussing key aspects ...

Dr. Elizabeth Dubois describes her team's project "Kaleidoscope: Positionality-aware Machine Learning," in this final presentation ...

This tutorial uses Python and OpenCV to explain how to choose the custom HSV range for color detection or masking. Interested ...

We met with Michael Stephan at the booth in CVPR2022 The team at Retrocausal built a computer vision platform that allows any ...

Do you want to get started with AI based on decision trees? Do you want to understand how to optimize your decision tree?

Streamlit is a fantastic new tool that lets you create powerful & highly-interactive web apps for your machine learning projects with ...

Hyperledger – Open Source Blockchain Technologies Hyperledger is an open source community focused on developing a suite ...

Monitoring ecological systems at the large scales required for management and restoration is challenging. We present ongoing ...

This tutorial explains the code regarding how to detect objects with YOLOv8 and make get faster inference using OpenVINO.

Tired of big tech companies mining your data and limiting your smart home options? In this video, we're diving deep into ...

NB: We suggest watching these from http://course.fast.ai/part2.html, rather than via youtube.com, so can can access any recent ...