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Flower Alternatives
Similar projects and alternatives to flower
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RWKV-LM
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
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chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
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lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
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sidekick
Discontinued Universal APIs for unstructured data. Sync documents from SaaS tools to a SQL or vector database, where they can be easily queried by AI applications [Moved to: https://github.com/psychic-api/psychic] (by ai-sidekick)
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ml-ane-transformers
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
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helicone
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better flower alternative or higher similarity.
flower discussion
flower reviews and mentions
Posts with mentions or reviews of flower.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-01-15.
- Flower: A Friendly Federated AI Framework
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Flower 1.15.0
Do you mean this example? https://github.com/adap/flower/tree/main/examples/quickstart...
- Show HN: Federation of robots collaboratively train an object manipulation model
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Day 1 : Daily Notes for #30DayOfFLCode
Flower: An open-source framework developed by Adap, which allows you to build federated learning systems using a variety of machine learning libraries.Link
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Pyenv – lets you easily switch between multiple versions of Python
We use Pyenv successfully for developing the Flower open-source project. We use a few simple Bash scripts to manage virtual environments with different Python versions via pyenv and the pyenv-virtualenv plugin.
The main scripts are `venv-create.sh`, `venv-delete.sh` and `bootstrap.sh`. `venv-reset.sh` pulls these three scripts together to make reinstalling your venv a single command.
Here's the link if anyone is interested: https://github.com/adap/flower/tree/main/dev
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March 2023
Flower , an open-source framework for training AI on distributed data. We move the model to the data instead of moving the data to the model. (https://flower.dev/)
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collectively-powered LLM
Check out https://flower.dev/ as an example
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Transformer fine-tuning on decentralized data
Large language models like GPT-3 have gained immense popularity recently, and, using Flower, it's easy to transform an existing Hugging Face workflow to train models on decentralized data. This example blog post will show how to fine-tune a pre-trained distilBERT model on the IMDB dataset for sequence classification (determining if a movie review is positive or not). You can also check out the associated Colab notebook and the code example from the Flower repo.
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Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
There are some similarities, but also some differences. Flower's take is that it wants to support the entire FL workflow from experimental research to large-scale production deployments and operation. Some other FL frameworks fall either in the "research" or "production deployment" bucket, but few have good support for both.
Flower does a lot under the hood to support these different usage scenarios: it has both a networked engine (gRPC, experimental support for REST, and the possibility to "bring your own communication stack") and a simulation engine to support both real deployment on edge devices/server and simulation of large-scale federations on single machines or compute clusters.
This is - to the best of our knowledge - one of the drivers of our large and active community. The community is very collaborative and there are many downstream projects in the ecosystem that build on top of Flower (GitHub lists 748 dependent projects: https://github.com/adap/flower/network/dependents).
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Mar 2025
Stats
Basic flower repo stats
32
5,567
9.9
about 23 hours ago
adap/flower is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of flower is Python.
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