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

GitHub

559 stars
32 watching
134 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list

aiartificial-intelligenceblockchaineconomicsethereummachine-learningmlnodeprediction-marprediction-marketpythonreactsmart-contractstruffle

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
gianlucabertani/machinelearningA machine learning framework for native code on Macs with support for neural networks and natural language processing.37
scottfreellc/alphapyAn autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms.1,170
mlreef/mlreefA platform for collaboration, data management, and reproducibility in machine learning development1,440
somnibyte/mlkitA framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects.152
mpc-msri/ezpcA software framework for secure machine learning that provides efficient and scalable computation protocols for collaborative data analysis406
a3data/hermioneA framework for simplifying machine learning development and deployment207
rocm/mxnetA deep learning framework that enables efficient and flexible distributed/mobile deep learning with dynamic dataflow dependency scheduling28
sql-machine-learning/elasticdlA framework for building and training distributed deep learning models in Kubernetes environments.735
fielddb/deeplearntoolboxA Matlab toolbox for building and training deep neural networks0
tensorflow/tensorflowAn end-to-end platform for building and deploying machine learning applications186,822
jpzwolak/qflow-suiteA machine learning framework for training models on quantum dot data40
sethjuarez/numlProvides a set of reusable C# components for building machine learning models in .NET431
erfanzar/easydelA framework for training and serving machine learning models using JAX, with a focus on flexibility and customization.212
h2oai/article-information-2019A framework for building and evaluating machine learning systems with high accuracy and interpretability, particularly in human-centered applications.13
quantumliu/matdlA lightweight MATLAB deeplearning toolbox for efficient neural network training and prediction.54