0xDeCA10B
Machine Learning Framework
A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates.
Sharing Updatable Models (SUM) on Blockchain
559 stars
32 watching
134 forks
Language: Python
last commit: about 2 months ago
Linked from 1 awesome list
aiartificial-intelligenceblockchaineconomicsethereummachine-learningmlnodeprediction-marprediction-marketpythonreactsmart-contractstruffle
steven2358/awesome-blockchain-aiRelated projects:
| Repository | Description | Stars |
|---|---|---|
 gianlucabertani/machinelearning | A machine learning framework for native code on Macs with support for neural networks and natural language processing. | 37 |
 scottfreellc/alphapy | An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. | 1,167 |
 mlreef/mlreef | A platform for collaboration, data management, and reproducibility in machine learning development | 1,440 |
 somnibyte/mlkit | A framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects. | 152 |
 mpc-msri/ezpc | A software framework for secure machine learning that provides efficient and scalable computation protocols for collaborative data analysis | 406 |
 a3data/hermione | A framework for simplifying machine learning development and deployment | 207 |
 rocm/mxnet | A deep learning framework that enables efficient and flexible distributed/mobile deep learning with dynamic dataflow dependency scheduling | 28 |
 sql-machine-learning/elasticdl | A framework for building and training distributed deep learning models in Kubernetes environments. | 735 |
 fielddb/deeplearntoolbox | A Matlab toolbox for building and training deep neural networks | 0 |
 tensorflow/tensorflow | An end-to-end platform for building and deploying machine learning applications | 186,822 |
 jpzwolak/qflow-suite | A machine learning framework for training models on quantum dot data | 40 |
 sethjuarez/numl | Provides a set of reusable C# components for building machine learning models in .NET | 431 |
 erfanzar/easydel | A framework for training and serving machine learning models using JAX, with a focus on flexibility and customization. | 212 |
 h2oai/article-information-2019 | A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications. | 13 |
 quantumliu/matdl | A lightweight MATLAB deeplearning toolbox for efficient neural network training and prediction. | 54 |