juice
Machine Learning Framework
A machine learning framework designed to be extensible and agnostic, with support for multiple backends and linear algebra libraries.
The Hacker's Machine Learning Engine
1k stars
35 watching
76 forks
Language: Rust
last commit: over 1 year ago agnosticcoastercudaextinsibleframeworkhacktoberfestjuicemachine-learningopenclrust
Related projects:
| Repository | Description | Stars |
|---|---|---|
 developmentseed/caffe | A framework for deep learning using C++ and modularity to speed up development. | 6 |
 federatedai/eggroll | A framework for distributed machine learning | 242 |
 alejandro-isaza/caffe | A C++ implementation of a deep learning framework designed for speed and modularity. | 59 |
 gingsmith/fmtl | A framework for collaborative learning across multiple tasks and datasets in a distributed manner | 130 |
 chengyangfu/caffe | A fast and modular deep learning framework for computer vision tasks. | 169 |
 fangxiuwen/robust_fl | An implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning. | 43 |
 gianlucabertani/machinelearning | A machine learning framework for native code on Macs with support for neural networks and natural language processing. | 37 |
 cuis15/fcfl | An implementation of Fair and Consistent Federated Learning using Python. | 20 |
 omarfoq/fedem | Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. | 157 |
 ibm/federated-learning-lib | A framework for collaborative distributed machine learning in enterprise environments. | 500 |
 substra/substra | Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner. | 274 |
 microsoft/0xdeca10b | 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. | 559 |
 xtra-computing/fedsim | A framework that enables federated learning across multiple datasets while optimizing model performance with record similarities. | 25 |
 smilelab-fl/fedlab | A flexible framework for distributed machine learning where participants train local models and collaboratively optimize them without sharing data | 743 |
 securefederatedai/openfl | A Python framework for collaborative machine learning without sharing sensitive data | 738 |