AI · alternatives · 2026

24 alternatives to Graphlearn-for-PyTorch, distributed graph learning on PyTorch

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…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Graphlearn-for-PyTorch, distributed graph learning on PyTorch launched in 2023; newer entries below may have overtaken it.

1
TensorFlow 1.0▲823
Open-source machine learning library by Google
2017 · tensorflow.org · 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
TorchGAN – Research Framework for Modelling GANs Based on Pytorch▲56
Research Framework for easy and efficient training of GANs based on Pytorch - torchgan/torchgan
2018 · github.com · its alternatives →
4
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 →
5GC
Graph Convolutional Networks – Intro to neural networks on graphs▲106
Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...
2016 · tkipf.github.io · its alternatives →
6
Comgra: A library for debugging and understanding neural networks▲66
I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…
2023 · github.com · its alternatives →
7
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 →
8
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 →
9
Note▲7
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch - NoteDance/Note
2025 · github.com · its alternatives →
10
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 →
11
Peer-To-Peer Federated Deep Learning Using IPFS and PyTorch▲15
2018 · youtube.com · its alternatives →
12
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
13
KarateClub a Python library for unsupervised machine learning on graphs▲102
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) - benedekrozemberczki/karateclub
2020 · github.com · its alternatives →
14
GoLearn▲81
Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.
2014 · github.com · its alternatives →
15
Neural networks tutorial series with code▲107
The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.
2020 · github.com · its alternatives →
16
Graph Wavelet Neural Network, ICLR 2019 (PyTorch)▲6
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019) - benedekrozemberczki/GraphWaveletNeuralNetwork
2019 · github.com · its alternatives →
17
PyTorch Lightning▲79
The light PyTorch wrapper for high-performance AI research
2020 · pytorchlightning.ai · its alternatives →
18
PyTorch Hub▲3
Towards Reproducible Machine Learning
2019 · pytorch.org · its alternatives →
19
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 →
20
Pytorch_block_sparse: smaller, faster neural networks▲6
Today I am excited to release pytorch-block-sparse: a *drop-in* replacement of @PyTorch Linear with GPU-efficient sparsity: 75% sparsity➡️4x less memory + 2x the speed! Code & tutorials to use to train your own sparse models: https://t.co/HMO11zWAjk
2020 · twitter.com · its alternatives →
21
A Parallel Implementation of Graph2Vec▲53
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017). - benedekrozemberczki/graph2vec
2019 · github.com · its alternatives →
22
Cant – Library written in Rust that provides PyTorch-like functionality▲50
Hey! This is something i have been working on. A tiny neural networking lib to learn how something like pytorch works, and to improve my own coding standards.
2025 · github.com · its alternatives →
23
Torchmtl a pytorch library for multi-task learning▲6
A lightweight module for Multi-Task Learning in pytorch. - chrisby/torchMTL
2020 · github.com · its alternatives →
24
FlashML▲15
Drag & Drop Machine Learning Models w/ PyTorch Flexibility.
2020 · its alternatives →

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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 →