Willem Pienaar is the creator of Feast, an open-source feature store (feast.dev), building tools at the intersection of engineering, data, and ML. Currently, he work as a Principal engineer at Tecton, Leading the development of Feast, an open source feature store. Previously, he has worked in South Africa, Thailand, Singapore before he moved to San […]
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This video originally appeared on CSIRO’s Data61’s YouTube channel on 18 December 2023. The National AI Centre (NAIC) has since joined the Department of Industry, Science and Resources. A full transcript is available on request. Coordinated by the National AI Centre’s (NAIC) Responsible AI Network (RAIN) and the Australian Institute of International Affairs (AIIA), this […]
Watch my as I struggle my way up the glorious path of using the DETR object detection model in PyTorch. Original Video on DETR: https://youtu.be/T35ba_VXkMY Their GitHub repo: https://github.com/facebookresearch/detr My Colab: https://colab.research.google.com/drive/1Exoc3-A141_h8GKk-B6cJxoidJsgOZOZ?usp=sharing OUTLINE: 0:00 – Intro 0:45 – TorchHub Model 2:00 – Getting an Image 6:00 – Image to PyTorch Tensor 7:50 – Handling Model […]
We are giving you AN EXCLUSIVE SNEAK PEAK into the life of Asmaa Ibrahim, a Google Developer Expert and ML Product Owner working at Vodafone. She will be sharing her experience as a woman in this very competitive field, and she will be telling us about her career path that lead her to become a […]
#chatgpt #openai #pdfdataextraction 00:00 ChatGpt With Python 03:00 Chat GPT Code Examples 06:00 Real Time use of Chat GPT 12:20 How to use ChatGpt API 15:00 How to extract data from PDF using Chat GPT 20:23 Get data from PDF to CSV using ChatGPT 24:00 Extract data from PDF to Excel using CHAT GPT PYCHARM […]
FLEX: Smart Camera Gadget for Creative Photography The Easiest Way of Taking Creative Photos Back This Project: https://tinyurl.com/y2tcc48l source
All my links: https://linktr.ee/daveshap source
We propose a novel, simple and highly effective box-level post-processing method to improve the accuracy of video object detection. Our experiments on ImageNet object detection from video (VID) dataset show that our method brings important accuracy gains, especially to more challenging fast-moving object detection, with quite light computational overhead in both settings. Applied to YOLOv3, […]