Adfem.jl
Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Xgboost | 25,253 |  | 796 | 972 | 3 months ago | 79 | November 13, 2023 | 412 | apache-2.0 | C++ |
| 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 | ||||||||||
| Catboost | 7,564 | 12 | 3 months ago | 20 | September 19, 2023 | 539 | apache-2.0 | Python | ||
| A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. | ||||||||||
| Scikit Optimize | 2,700 |  | 80 | 191 | 3 months ago | 19 | October 12, 2021 | 320 | bsd-3-clause | Python |
| Sequential model-based optimization with a `scipy.optimize` interface | ||||||||||
| Ngboost | 1,543 |  | 14 | 3 months ago | 27 | November 01, 2023 | 47 | apache-2.0 | Python | |
| Natural Gradient Boosting for Probabilistic Prediction | ||||||||||
| Grenade | 1,430 | 3 | 4 months ago | 1 | April 12, 2017 | 23 | bsd-2-clause | Haskell | ||
| Deep Learning in Haskell | ||||||||||
| Zygote.jl | 1,415 | 3 months ago | 418 | other | Julia | |||||
| 21st century AD | ||||||||||
| Enzyme | 1,142 | 23 days ago | 137 | other | LLVM | |||||
| High-performance automatic differentiation of LLVM and MLIR. | ||||||||||
| Gradient Free Optimizers | 1,072 |  | 7 | 4 months ago | 45 | December 29, 2022 | 7 | mit | Python | |
| Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces. | ||||||||||
| Keract | 1,030 | 5 months ago | 2 | mit | Python | |||||
| Layers Outputs and Gradients in Keras. Made easy. | ||||||||||
| Tf Explain | 934 |  | 1 | 7 | 2 years ago | 8 | November 18, 2021 | 41 | mit | Python |
| Interpretability Methods for tf.keras models with Tensorflow 2.x | ||||||||||
Alternatives To Adfem.jlSelect To Compare
Alternative Project Comparisons
Popular Machine Learning Projects
Popular Gradient Projects
Popular Machine Learning Categories
Related Searches
Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Machine Learning
Julia
Gradient
Deep Neural Networks
Automatic Differentiation