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A chronological record of the workshops, webinars, build clinics and Open Source Fridays run by Descience Open Source Club - the ones coming up, the one happening now, and everything already shipped.
An Open-Mic Discussion on What Companies Need Now and How to Position Yourself for Real Opportunities.
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An Open-Mic Discussion on What Companies Need Now and How to Position Yourself for Real Opportunities.
An Open-Mic Discussion on What Companies Need Now and How to Position Yourself for Real Opportunities.
Explore niche, high-growth careers in Lab Informatics, LIMS, and automation with Sanofi expert Padmanaban Varatharajan. Join Descience OSF Ep. 7 free!
Learn scalable cloud data engineering in a live code session. Explore AWS, PySpark, and pipeline architecture with Rajesh Kanna at Descience OSF.
Ready to level up your career in the AI era? Descience Open Source Club presents Episode 5 of Open Source Fridays!
Dear Participant, We are delighted to invite you to Episode 4: Code Explanation and Technical Walkthrough – Build Your AI Application Using Jarvis Lab GPU . In Episode 4, join us for a detailed code explanation and technical walkthrough of an AI application built using Jarvis Lab GPU. Rather than developing the application from scratch during the session, we will take you through the completed project and explain how each major component works. You will understand how the GPU environment is configured, how AI models are integrated, and how the application processes images efficiently using GPU acceleration. Using a real-world face detection and recognition application powered by RetinaFace and ArcFace , we will walk through the code flow, model execution, image-processing pipeline, face embedding generation, similarity matching, and overall application architecture. The session will also explain how GPU configuration affects speed, scalability, performance, and cost, helping you make better technical decisions for your own student, research, or open-source AI projects. Session: Episode 4 – Code Explanation and Technical Walkthrough Topic: Build Your AI Application Using Jarvis Lab GPU Mode: Online Webinar Registration: Mandatory Seats are limited, and only registered participants will receive the webinar joining link. Please complete your registration using the link below: Registration Link : Click here After successful registration, the meeting details will be shared with you through email. We look forward to your participation in this practical and informative live session. Regards, Descience OpenSource Club Touchmark Descience Private Limited
Dear Participant, Episode 3: Live Demo - Build Your AI Application Using Jarvis Lab GPU In Episode 3, join us for a live demonstration on how to build and run an AI application using Jarvis Lab GPU. This session will take you through the practical process of setting up a GPU environment, running AI models, and understanding how GPU acceleration improves application performance. Using a real-world face detection and recognition use case with models such as RetinaFace and ArcFace , we will demonstrate how thousands of images can be processed faster and more efficiently. You will also learn how to choose the right GPU configuration based on your project requirements, performance expectations, and budget - making this session especially useful for students, developers, and open-source contributors.
Dear Participant, Episode 2: GPU Essentials & Production Case Study Ever wondered why AI models need GPUs, or how to pick the right compute power without blowing your budget ? In this session, we break down what GPUs actually do in modern AI apps and walk you through a real-world project example: showing how face detection models (like RetinaFace and ArcFace) use GPU acceleration to process thousands of photos efficiently. You will also learn practical rules for picking the best GPU for your own student or open-source projects!
Dear Participant, Welcome to all Open Source Friday Day 1
Want to run a session with us, or suggest a topic?