Life & fun · alternatives · 2026
24 alternatives to Arraymancer, teaching Nim language digit recognition from scratch
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends - mratsim/Arraymancer
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Arraymancer, teaching Nim language digit recognition from scratch launched in 2017; newer entries below may have overtaken it.
- 1
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends - mratsim/Arraymancer
2018 · github.com · its alternatives →
- 2
TensorFlow 1.0▲823Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
- 3GA
2016 · erkaman.github.io · its alternatives →
- 4
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
- 5
Preimage attack against NeuralHash 💣. Contribute to anishathalye/neural-hash-collider development by creating an account on GitHub.
2021 · github.com · its alternatives →
- 6
Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com · its alternatives →
- 7
- 8
TensorZero▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
2025 · github.com · its alternatives →
- 9
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow - GitHub - zzw922cn/Automatic_Speech_Recognition: End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
2017 · github.com · its alternatives →
- 10
- 11
- 12
Sonnet▲134A new library for constructing neural networks from DeepMind
2017 · deepmind.google · its alternatives →
- 13
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood. - xmartlabs/Bender
2017 · github.com · its alternatives →
- 14
TensorFlow▲17An Open Source Library for Machine Intelligence (by Google)
2015 · tensorflow.org · its alternatives →
- 15
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 →
- 16
A general-purpose encoder-decoder framework for Tensorflow - google/seq2seq
2017 · github.com · its alternatives →
- 17
An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
- 18
- 19
A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
2021 · github.com · its alternatives →
- 20PO
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017 · its alternatives →
- 21RX
Hi all, long time lurker, first time poster. I want to share with you all something we've been working on for a while at Lambda: the Razer x Lambda Tensorbook: https://www.youtube.com/watch?v=wMh6Dhq7P_Q But before I tell you about it, I want to make this all about me, because I built this for me. See, while I'm genuinely interested in hearing from the community what you think as this is the culmination of a lot of effort from a lot of people across so many different fields (seriously, the number of folks across manufacturing, engineering, design, logistics, and marketing who…
2022 · its alternatives →
- 22
A general-purpose encoder-decoder framework for Tensorflow
2017 · google.github.io · its alternatives →
- 23
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym - vishar0/dist-dqn
2016 · github.com · its alternatives →
- 24
A smart camera app using react-native and tensorflow - northfoxz/whatsthis
2016 · github.com · its alternatives →
Also compare
- Arraymancer v0.4, Nim tensor library now with OpenCL and Keras-like API alternatives
- TensorFlow 1.0 alternatives
- GPU-Accelerated Digit Recognition with WebGL alternatives
- TensorFlow 1.0 alternatives
- Neural-hash-collider – Find target hash collisions for NeuralHash alternatives
- I built a tensor library from scratch in C++/CUDA 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 →