AI · alternatives · 2026

24 alternatives to Attention-Based Guided Structured Sparsity of Deep Neural Networks

Attention-Based Guided Structured Sparsity of Deep Neural Networks - astorfi/attention-guided-sparsity

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Attention-Based Guided Structured Sparsity of Deep Neural Networks launched in 2018; newer entries below may have overtaken it.

1. 1
   Neural Networks and Deep Learning▲95

   Core concepts behind neural networks and deep learning

   2015 · neuralnetworksanddeeplearning.com · its alternatives →

2. 2
   Sonnet▲134

   A new library for constructing neural networks from DeepMind

   2017 · deepmind.google · its alternatives →

3. 3
   Thinc, a new deep learning library by the makers of spaCy and FastAPI▲250

   Thinc is a lightweight type-checked deep learning library for composing models, with support for layers defined in frameworks like PyTorch and TensorFlow.

   2020 · thinc.ai · its alternatives →

4. 4
   DeepSeek-V3.2-Exp▲155

   Long-context efficiency with DeepSeek Sparse Attention

   2025 · huggingface.co · its alternatives →

5. 5
   Using 3D Convolutional Neural Networks for Speaker Verification▲59

   :speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification - astorfi/3D-convolutional-speaker-recognition

   2017 · github.com · its alternatives →

6. 6
   Deep Learning▲67

   The textbook for modern machine learning

   2016 · amazon.com · its alternatives →

7. 7
   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 →

8. 8GC
   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 →

9. 9
   TensorFlow 1.0▲80

   Open-source machine learning library by Google

   2018 · tensorflow.org · its alternatives →

10. 10
    Neural Coref▲86

    State-of-the-art coreference resolution based on neural nets

    2017 · its alternatives →

11. 11
    KANN – mid-scale deep learning and autodiff in ANSI C (4 files; 4k LOC)▲5

    A lightweight C library for artificial neural networks - attractivechaos/kann

    2018 · github.com · its alternatives →

12. 12
    TensorFire▲99

    Blazing-fast in-browser neural networks

    2017 · tenso.rs · its alternatives →

13. 13IT
    Introduction to Recurrent Networks in TensorFlow▲6

    2016 · danijar.github.io · its alternatives →

14. 14
    Analyse Asia - 71: Deep Learning & Baidu Research with Andrew Ng▲65

    Artificial Intelligence, Deep Learning & Baidu research

    2015 · analysepodcast.com · its alternatives →

15. 15
    Talking Machines - Solving intelligence and machine learning fundamentals▲56

    Guest: Nando de Freitas (Oxford, Google DeepMind)

    2015 · thetalkingmachines.com · its alternatives →

16. 16
    Deep Learning With Keras▲6

    Deep Learning With Keras And Convolutional Neural Networks

    2018 · amazon.com · its alternatives →

17. 17LT
    Learning to (Learn at Test Time)▲13

    I’m excited to share a project I’ve been working on for over a year, which I believe will fundamentally change our approach to language models. We’ve designed a new architecture, which replaces the hidden state of an RNN with a machine learning model. This model compresses context through actual gradient descent on input tokens. We call our method “Test-Time-Training layers.” TTT layers directly replace attention, and unlock linear complexity architectures with expressive memory, allowing us to train LLMs with millions (someday billions) of tokens in context. Our instantiations, TTT-Linear…

    2024 · its alternatives →

18. 18TI
    The Impact of Noise on Recurrent Neural Networks▲21

    Series on reservoir computing, focusing on echo state networks. Covers GPU simulations, addressing variable training lengths and data processing. Analyzes Gaussian noise impact on network performance, with practical demonstrations and theoretical discussions. Relevant for those interested in neural network behavior in noisy environments.

    2023 · ampolloreno.com · its alternatives →

19. 19
    TensorFlow Sequence-to-Sequence▲6

    A general-purpose encoder-decoder framework for Tensorflow

    2017 · google.github.io · its alternatives →

20. 20
    Deep siamese LSTM network to capture phrase/sentence similarity▲6

    Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings - dhwajraj/deep-siamese-text-similarity

    2017 · github.com · its alternatives →

21. 21
    A Higher-Order Graph Convolutional Layer, NeurIPS 2018 (PyTorch)▲9

    An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019). - benedekrozemberczki/MixHop-and-N-GCN

    2019 · github.com · its alternatives →

22. 22
    TensorFlow▲3

    A Neural Network Playground

    2016 · playground.tensorflow.org · its alternatives →

23. 23
    Minimal LLM Post-Training Experiments on an 8GB GPU (SFT, DPO, GRPO)▲21

    Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining

    Aug 2026 · github.com · its alternatives →

24. 24AW
    A walkable 3D tour of a feedforward neural net▲5

    A walkable 3D tour of a small feedforward network.

    Aug 2026 · ffnn.vercel.app · its alternatives →

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 →