deepxde
PaddlePaddle
| deepxde | PaddlePaddle | |
|---|---|---|
| 2 | 6 | |
| 2,343 | 21,625 | |
| - | 0.5% | |
| 8.6 | 10.0 | |
| 16 days ago | 4 days ago | |
| Python | C++ | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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.
deepxde
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[Dev-Showcase] Airfoil Optimisation using Physics Informed Neural Networks(PINNs)
Due to certain limitations in MODULUS(We are unable to directly access the point cloud), we are now also exploring other available PINNs libraries and frameworks and stumbled on to deepXDE. deepXDE is a little different than Modulus and I'm currently exploring it.
- Physics-Informed ML Simulator for Wildfire Propagation (Video)
PaddlePaddle
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List of AI-Models
Click to Learn more...
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Ask HN: Are there any notable Chinese FLOSS projects?
PaddlePaddle?
https://github.com/PaddlePaddle/Paddle
Also, Baidu have quite a few OSS projects out there in general.
https://github.com/baidu
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Volcano vs Yunikorn vs Knative
Volcano is a batch scheduler on top of Kube-batch targetting spark-operator, plain old MPI, chinesium paddlepaddle, and Kromwell HPC.
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Baidu AI Researchers Introduce SE-MoE That Proposes Elastic MoE Training With 2D Prefetch And Fusion Communication Over Hierarchical Storage
Continue reading | Check out the paper, and Github
- I have issue with only __habs for half datatype? Please help!
- Alternatives to google collab?
What are some alternatives?
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
tensorflow - An Open Source Machine Learning Framework for Everyone
diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
Keras - Deep Learning for humans
deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"
MLflow - Open source platform for the machine learning lifecycle
pymadcad - Simple yet powerful CAD (Computer Aided Design) library, written with Python.
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
gym - A toolkit for developing and comparing reinforcement learning algorithms.