Life & fun · alternatives · 2026

24 alternatives to Num2vec – Numerical Embeddings via Deep Nested RNNs

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Num2vec – Numerical Embeddings via Deep Nested RNNs launched in 2018; newer entries below may have overtaken it.

1
Sonnet▲134
A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
2
Neural Networks and Deep Learning▲95
Core concepts behind neural networks and deep learning
2015 · neuralnetworksanddeeplearning.com · its alternatives →
3IT
Introduction to Recurrent Networks in TensorFlow▲6
2016 · danijar.github.io · its alternatives →
4
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
5
Model2vec – Lightning-fast Static Embeddings for RAG/Semantic Search▲28
We’ve recently open-sourced Model2vec, a method to distill sentence transformers into static embeddings that outperform all previous approaches by a large margin on MTEB. Our new models set a new state-of-the-art for static embeddings. Main features: - Our best model (potion-base-8M) has only 8M parameters, which is ~30mb on disk - Inference is ~500x faster than the distilled base model (bge-base), on a CPU - New models can be distilled in 30 seconds on a CPU without requiring a dataset - just a vocabulary - Numpy-only inference: The packaged can be install the package with minimal…
2024 · github.com · its alternatives →
6
Deep Learning▲67
The textbook for modern machine learning
2016 · amazon.com · its alternatives →
7
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 →
8
Practical Deep Learning For Coders▲7
Free, practical course on Deep Learning, without hard math
2017 · course.fast.ai · its alternatives →
9MN
Melondream: Neural Network Erotica Stream▲25
2017 · driftwheeler.com · its alternatives →
10DL
Deep Learning 33M data points using a few lines of YAML▲7
2020 · blog.maiot.io · its alternatives →
11
Make Your Own Neural Network▲6
An In-depth Visual Introduction For Beginners
2017 · amazon.com · its alternatives →
12
Rag Framework▲5
A scalable centralized embeddings platform for efficient embedding and retrieval to build RAG applications faster
2024 · github.com · its alternatives →
13
The Math of Neural Networks▲5
A Visual Introduction For Beginners
2017 · amazon.com · its alternatives →
14
A deep learning visual search platform using TensorFlow/Django/Docker▲8
2017 · github.com · its alternatives →
15VH
Visualizing how a NeuralNetwork learns to recognize the MNIST digits▲8
2020 · zbendefy.github.io · its alternatives →
16
TensorFlow▲3
A Neural Network Playground
2016 · playground.tensorflow.org · its alternatives →
17DL
Deep Learning for Answering Questions about Images▲9
2016 · askimage.org · its alternatives →
18
A Node Editor for LLMs with Semantic Kernel▲8
2023 · docs.anyassistant.ai · its alternatives →
19
PyTorch▲5
Tensors and dynamic neural networks in Python
2017 · pytorch.org · its alternatives →
20DT
DIY tool for customized Machine Learning – absolute zero coding▲7
2017 · matelabs.in · its alternatives →
21
A basic generic multi layer perceptron▲8
2014 · github.com · its alternatives →
22AM
Artifice - Making Machine Learning Transparent and Accessible▲8
2023 · sotai.ai · its alternatives →
23AD
About Deep Learning, Machine Learning and Neural Networks▲5
2020 · medium.com · its alternatives →
24AL
A library to build graph neural networks in Keras▲8
Spektral: Graph Neural Networks in TensorFlow 2 and Keras
2019 · danielegrattarola.github.io · 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 →