Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Learn how to build cost-effective AI agents locally with LangGraph and Ollama. Step-by-step guide using lightweight, free ...

According to Andrew Ng (@AndrewYNg), the new Agentic AI course on deeplearning.ai teaches practical skills for building AI agents, a rapidly growing area in the job market. The curriculum covers four ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Marine Colonel Who Resigned Because Of Trump Says Personnel Should Question 'Illegal ...

A next-generation algorithmic trading framework that leverages graph-based workflow architecture, ensemble technical analysis, and AI language models to make data-driven cryptocurrency trading ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

In FY2024-25, the Revised Annual Development Programme (ADP) allocation, including self-financing by various agencies, stood at Tk2,26,165 crore. Of this, ministries and departments managed to spend ...

Abstract: This tutorial aims to introduce Event Graphs (EGs), invented 40 years ago by Lee Schruben to allow eventbased modeling of discrete dynamic systems. Their simplicity and naturalness in ...

MACUA & WAMUA recently published a report evaluating the implementation of Social and Labour Plans (SLPs) across eleven mining communities in South Africa. The report conclude under-delivery of SLPs.

The ONNX IR Python library provides a comprehensive pass framework for implementing graph transformations and optimizations. This tutorial covers the different base classes available and when to use ...