Life & fun · alternatives · 2026

24 alternatives to Peer-To-Peer Federated Deep Learning Using IPFS and PyTorch

This project combines IPFS and PyTorch to enable peer-to-peer federated deep learning across distributed networks. It allows machine learning models to be trained collaboratively without requiring a central server… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Peer-To-Peer Federated Deep Learning Using IPFS and PyTorch launched in 2018; newer entries below may have overtaken it.

1
Initial release of the distributed TensorFlow runtime▲85
An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow/core/distributed_runtime at master · tensorflow/tensorflow
2016 · github.com · its alternatives →
2
Netmind Power▲272
Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month
2023 · netmind.ai · its alternatives →
3
Comprehensive Tutorials in Deep Learning Using TensorFlow▲327
:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
2018 · github.com · its alternatives →
4
IPFS▲84
Peer-to-peer hypermedia protocol for Blockchain powered web
2015 · about.ipfs.io · its alternatives →
5
Neuropod – Uber ATG's open source deep learning inference engine▲80
A uniform interface to run deep learning models from multiple frameworks - uber/neuropod
2020 · github.com · its alternatives →
6
Encrypted Deep Learning in PyTorch▲37
Perform data science on data that remains in someone else's server - OpenMined/PySyft
2018 · github.com · its alternatives →
7
Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)▲80
An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
8
Deep Learning in TensorFlow – The Roadmap for Study and Learning▲146
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2019 · github.com · its alternatives →
9
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
10
Graphlearn-for-PyTorch, distributed graph learning on PyTorch▲9
Hello HN, We are pleased to introduce you graphlearn-for-pytorch (https://github.com/alibaba/graphlearn-for-pytorch), an open-source distributed graph neural network library based on PyTorch and compatible with PyG. Our library is designed to make it easy for developers to build and train large-scale graph models in a distributed environment. With graphlearn-for-pytorch, you can leverage GPUs to accelerate graph sampling and utilize UVA to reduce the overheads of feature collection. Following a scalable design, graphlearn-for-pytorch supports training GNN models on…
2023 · github.com · its alternatives →
11
End-to-end deep learning experimentation platform for Tensorflow▲151
AI Infra / AI Orchestration / AI Control Plane. Contribute to polyaxon/polyaxon development by creating an account on GitHub.
2017 · github.com · its alternatives →
12
TensorPort▲143
Help teams apply machine learning to real-world applications
2017 · its alternatives →
13
Multi-GPU Reinforcement Learning in Tensorflow for OpenAI Gym▲58
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym - vishar0/dist-dqn
2016 · github.com · its alternatives →
14
Clever Grid▲117
Easy to use and fairly priced GPUs for Machine Learning
2019 · clevergrid.io · its alternatives →
15
Note▲7
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch - NoteDance/Note
2025 · github.com · its alternatives →
16
An RDMA/Infiniband Distributed Cache for Fast Inference and Training▲13
A high-performance RDMA distributed file system for fast LLM Inference and GPU Training. - GitHub - blackbird-io/blackbird: A high-performance RDMA distributed file system for fast LLM Inference and GPU Training.
2025 · github.com · its alternatives →
17
LeanRL: Fast PyTorch RL with Torch.compile and CUDA Graphs▲53
We're excited to announce that we've open-sourced LeanRL, a lightweight PyTorch reinforcement learning library that provides recipes for fast RL training using torch.compile and CUDA graphs. By leveraging these tools, we've achieved significant speed-ups compared to the original CleanRL implementations - up to 6x faster! Reinforcement learning is notoriously CPU-bound due to the high frequency of small CPU operations. PyTorch's powerful compiler can help alleviate these issues, but comes with its own costs. LeanRL addresses this challenge by providing simple recipes to accelerate your…
2024 · github.com · its alternatives →
18
TensorFlow Hub▲8
GitHub for TensorFlow machine learning models
2018 · tensorflow.org · its alternatives →
19
Deep Learning Framework from scratch (60 step tutorial)▲40
Want to create a Deep Learning framework from scratch? Checkout this resource: https://koki0702.github.io/dezero-book/en/index.html In this book, you will create a deep learning framework called "DeZero" from scratch (from zero), which is the original framework of this book. With minimal code, the framework's modern features are realized. In this book, you will make this small - yet powerful enough - framework in a total of 60 steps. It will deepen your knowledge of modern frameworks such as PyTorch and TensorFlow.
2022 · koki0702.github.io · its alternatives →
20
Open-Sourcing Google's Lattice Models in PyTorch▲13
We're a group of engineers, AI/ML enthusiasts, and author of this paper https://openreview.net/forum?id=0pxiMpCyBtr who saw a closed door in AI/ML and decided to open it. This project is a PyTorch reimagining of Google's TensorFlow Lattice models, which despite being labeled open-source, were previously open in name only (you have to be a Googler to contribute). Also, side point…TensorFlow is dying https://thenextweb.com/news/why-tensorflow-for-python-is-dyi... Here's the deal: Lattice models excel in making AI interpretable—key for sectors where…
2023 · github.com · its alternatives →
21
TensorFlow▲17
An Open Source Library for Machine Intelligence (by Google)
2015 · tensorflow.org · its alternatives →
22
Deep-ML▲13
We just launched Deep-ML Labs, a new section on Deep-ML Each Lab is a hands-on challenge where you implement parts of real models, activations, layers, optimizers, normalization, even small transformers — directly in PyTorch (and sometimes NumPy). You can test your implementations on actual datasets, see how your results compare to others, and understand what’s really happening under the hood of deep learning frameworks. let me know what you guys think and if we should work on making more of these questions
2025 · deep-ml.com · its alternatives →
23
A lighting-fast and developer-friendly Federated Learning SDK▲13
Hello everyone We have been working for a couple of years now on MetisFL, a federated learning framework that allows developers to federate their machine learning workflows and train their models across distributed datasets without having to collect the data in a centralized location. Since the project is now transitioning to a public phase, we are actively encouraging developers, researchers and data scientists to experiment with the framework and contribute to the codebase. Thank you in advance!
2023 · github.com · its alternatives →
24
Mindpark - Playing Video Games with Deep Learning in Python▲24
Testbed for deep reinforcement learning. Contribute to danijar/mindpark development by creating an account on GitHub.
2016 · github.com · its alternatives →

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →