Mpiplatform
A platform for distributed optimization expriments using OpenMPI
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cppnumericalsolvers | 766 | 2 years ago | 2 | mit | C++ | |||||
| a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow) | ||||||||||
| Optim | 726 | 6 months ago | 7 | apache-2.0 | C++ | |||||
| OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions | ||||||||||
| Kotlingrad | 489 | a year ago | 2 | December 25, 2021 | 13 | apache-2.0 | Kotlin | |||
| 🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types | ||||||||||
| Deep Learning Dynamics Paper List | 183 | 6 months ago | mit | |||||||
| This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning. | ||||||||||
| Far Ho | 133 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
| Gradient based hyperparameter optimization & meta-learning package for TensorFlow | ||||||||||
| Uno | 124 | 5 months ago | 1 | mit | C++ | |||||
| A next-generation solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT | ||||||||||
| Raytracer.jl | 121 | 3 years ago | 6 | mit | Julia | |||||
| Differentiable RayTracing in Julia | ||||||||||
| 30 Days Of Ml Kaggle | 93 | 3 years ago | mit | Jupyter Notebook | ||||||
| Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning. | ||||||||||
| Least Squares Cpp | 69 | a year ago | 6 | mit | C++ | |||||
| A single header-only C++ library for least squares fitting. | ||||||||||
| Autoopt | 32 | 4 years ago | apache-2.0 | Python | ||||||
| Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent | ||||||||||
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