FedML VS adaptdl

Compare FedML vs adaptdl and see what are their differences.

FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale. (by FedML-AI)
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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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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

Posts with mentions or reviews of FedML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

adaptdl

Posts with mentions or reviews of adaptdl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-02.

What are some alternatives?

When comparing FedML and adaptdl you can also consider the following projects:

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)