Fast Mrmr
An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Deeplearning4j | 13,397 | 175 | 119 | a month ago | 54 | August 10, 2022 | 624 | apache-2.0 | Java | |
| Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. | ||||||||||
| H2o 3 | 6,618 | 62 | 33 | 3 months ago | 49 | August 09, 2023 | 2,746 | apache-2.0 | Jupyter Notebook | |
| H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. | ||||||||||
| Pipeline | 4,158 | 2 years ago | 85 | July 18, 2017 | 1 | apache-2.0 | Jsonnet | |||
| PipelineAI | ||||||||||
| Spark Rapids | 619 | 1 | 3 months ago | 19 | October 24, 2023 | 1,271 | apache-2.0 | Scala | ||
| Spark RAPIDS plugin - accelerate Apache Spark with GPUs | ||||||||||
| Dl4j Tutorials | 429 | 3 years ago | mit | Java | ||||||
| dl4j 基础教程 配套视频：https://space.bilibili.com/327018681/#/ | ||||||||||
| Gpuenabler | 165 | 6 years ago | 41 | apache-2.0 | Scala | |||||
| Provides GPU awareness to Spark, Contact: @kmadhugit and @kiszk | ||||||||||
| Cumf_als | 157 | 6 years ago | 3 | apache-2.0 | Cuda | |||||
| CUDA Matrix Factorization Library with Alternating Least Square (ALS) | ||||||||||
| Deeplearning4j Issues | 119 | 5 years ago | ||||||||
| deeplearning4j常见问题集合 | ||||||||||
| Arctern | 94 | 3 years ago | 10 | May 10, 2020 | 7 | apache-2.0 | C++ | |||
| Fast Mrmr | 73 | 2 years ago | 3 | C++ | ||||||
| An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR). | ||||||||||
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