FedML
adaptdl
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FedML | adaptdl | |
---|---|---|
6 | 4 | |
4,026 | 395 | |
1.9% | 0.5% | |
10.0 | 0.0 | |
about 18 hours ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FedML
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Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
This is not new at all. There is a much stronger competitor existing in the market already: FedML (https://fedml.ai). They have a much larger open-source community, and a well-managed and widely-used MLOps (https://open.fedml.ai).
- [Discussion] How feasible is it to partition a DNN model into pieces?
adaptdl
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Introduction to PyTorch
AdaptDL
What are some alternatives?
federated-xgboost - Federated gradient boosted decision tree learning
HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
alpa - Training and serving large-scale neural networks with auto parallelization.
experta - Expert Systems for Python
determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
MetisFL - The first open Federated Learning framework implemented in C++ and Python.
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
tutorials - PyTorch tutorials.
speech-to-text-benchmark - speech to text benchmark framework
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)