napkinXC
CNTK
| napkinXC | CNTK | |
|---|---|---|
| 1 | 1 | |
| 58 | 17,435 | |
| - | 0.0% | |
| 6.7 | 0.0 | |
| 3 months ago | about 1 year ago | |
| C++ | C++ | |
| MIT License | GNU General Public License v3.0 or later |
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napkinXC
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Predicting numerical values to a very high accuracy
If you only have 198 possible values then extreme multiclass models might benefit here with better precision and faster convergence. For example probabilistic label trees might have some relevance. Vowpal Wabbit also has specific reductions for extreme multi class problems. Might be worth a try if other alternatives still don't work out.
CNTK
What are some alternatives?
ehsm - An End-to-End Distributed and Scalable Cloud KMS (Key Management System) built on top of Intel SGX enclave-based HSM (Hardware Security Module), aka eHSM.
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
hsm - C++ framework library to simplify state-driven code
tensorflow - An Open Source Machine Learning Framework for Everyone
vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Caffe - Caffe: a fast open framework for deep learning.
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Keras - Deep Learning for humans
scikit-learn - scikit-learn: machine learning in Python