covid19-severity-prediction
finite-element-networks
Our great sponsors
| covid19-severity-prediction | finite-element-networks | |
|---|---|---|
| 1 | 1 | |
| 227 | 60 | |
| 0.4% | - | |
| 0.0 | 1.8 | |
| 6 months ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
covid19-severity-prediction
finite-element-networks
-
[R] Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Code & Demos: https://github.com/martenlienen/finite-element-networks
What are some alternatives?
california-coronavirus-scrapers - The open-source web scrapers that feed the Los Angeles Times California coronavirus tracker.
DataDrivenDynSyst - Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Open-Risk-Manual-PdfBooks - Collection of PdfBooks extracted from the Open Risk Manual
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
covid19za - Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
GAN-RNN_Timeseries-imputation - Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Digital-Learning-During-COVID19-EDA - In this project, we will be using data analysis tools to figure out trends in digital learning and how it is effective towards improvised communities. We will be comparing districts and states on factors like demography, internet access, learning product access, and finance.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods