The latest articles on DEV Community by Isaac Godfried (@isaacmg). https://dev.to/isaacmg https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F478164%2Fe991b652-f383-44da-8853-5f5abdc056a8.jpg https://dev.to/isaacmg en Isaac Godfried Wed, 30 Oct 2024 17:38:43 +0000 https://dev.to/isaacmg/new-article-on-multimodal-deep-learning-for-time-series-2o https://dev.to/isaacmg/new-article-on-multimodal-deep-learning-for-time-series-2o <p><a href="https://medium.com/deep-data-science/multimodal-deep-learning-for-time-series-forecasting-classification-and-analysis-8033c1e1e772" rel="noopener noreferrer">https://medium.com/deep-data-science/multimodal-deep-learning-for-time-series-forecasting-classification-and-analysis-8033c1e1e772</a></p> Isaac Godfried Tue, 02 Jul 2024 16:40:51 +0000 https://dev.to/isaacmg/advances-in-deep-learning-for-time-series-forecasting-2024-876 https://dev.to/isaacmg/advances-in-deep-learning-for-time-series-forecasting-2024-876 <p><a href="https://medium.com/deep-data-science/advances-in-deep-learning-for-time-series-forecasting-classification-winter-2024-a3fd31b875b0">https://medium.com/deep-data-science/advances-in-deep-learning-for-time-series-forecasting-classification-winter-2024-a3fd31b875b0</a></p> deeplearning pytorch timeseriesforecasting opensource Isaac Godfried Mon, 05 Oct 2020 04:39:22 +0000 https://dev.to/isaacmg/deep-learning-live-coding-wednesday-23i1 https://dev.to/isaacmg/deep-learning-live-coding-wednesday-23i1 <p>Hi everyone, as part of hacktoberfest I'll be holding a six hour live coding session on <a href="https://www.youtube.com/channel/UCJeAAx1mDUEVpTYEX0EWXSg?view_as=subscriber">YouTube</a> where I will showcase development of <a href="https://github.com/AIStream-Peelout/flow-forecast">flow-forecast</a> and provide information on how you can start contributing too. The live coding session will be this Wednesday October 8th from 12pm EDT to 6pm EDT and then I will be back for a night session from 10pm EDT to 12:30 AM. </p> <p><strong>Things I (hope) to cover</strong>: </p> <ul> <li><p>Reviewing/Merging any outstanding Pull Requests from contributors</p></li> <li><p><a href="https://github.com/AIStream-Peelout/flow-forecast/issues/166">Adding the transformer bottleneck paper</a></p></li> <li><p><a href="https://github.com/AIStream-Peelout/flow-forecast/issues/83">Finishing inference mode support and merging</a></p></li> <li><p>Answering any questions you might have live. </p></li> </ul> <p><a href="https://dev.to/isaacmg/a-unified-deep-learning-for-time-series-framework-1o20">For more information on flow forecast click here</a>.</p> hacktoberfest opensource pytorch python Isaac Godfried Wed, 30 Sep 2020 17:47:32 +0000 https://dev.to/isaacmg/a-unified-deep-learning-for-time-series-framework-1o20 https://dev.to/isaacmg/a-unified-deep-learning-for-time-series-framework-1o20 <p><a href="https://github.com/AIStream-Peelout/flow-forecast">Flow Forecast is an open source deep learning for multivariate time series forecasting, classification, and anomaly detection platform written in PyTorch</a>. Our goal is to build a general open source time series framework (somewhat analogous to HuggingFace has done for NLP) and enable users to solve complex real world forecasting problems. Additionally, we aim to solve pressing AI4Good problems. For instance, we are currently using Flow-Forecast to create county level COVID-19 forecasts as well as project flash floods around the U.S.</p> <p>We are currently, looking for new contributors to add new models, benchmark existing models, correct bugs, and enhance our cloud provider integrations. We welcome developers and data scientists of all skill levels to come and contribute. We wall also be hosting an official Sprint at PyData Global. </p> <ul> <li>You can look at some of the things we are working on <a href="https://github.com/AIStream-Peelout/flow-forecast/projects/5">here</a> </li> </ul> <p>Hope to see you on the project!</p> contributorswanted python machinelearning pytorch