AltHub

ddbourgin/numpy-ml Alternatives

educational ML implementations in NumPy

A collection of classic and modern machine learning algorithms implemented in pure NumPy for educational exploration and prototyping.

16.3kPythonGPL-3.0dormant · last push 3.0y agoGitHub

Same job, different approach

Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.

labmlai/annotated_deep_learning_paper_implementationsGitHub

Maintained PyTorch implementations of deep learning research papers with notes; choose for modern DL code instead of classic NumPy algorithms.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

67.5k
Python
MIT
slowing9mo ago

Older generation, or narrower

An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.

eriklindernoren/ML-From-ScratchGitHub

Same bare-bones NumPy educational approach but last pushed 2.9y and MIT-licensed; choose for permissive licensing and similarly broad coverage despite staleness.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

32.9k
Python
MIT
dormant3.0y ago
eriklindernoren/Keras-GANGitHub

GAN-only implementations in Keras; choose if you specifically want Keras GAN examples despite unmaintained status.

Keras implementations of Generative Adversarial Networks.

9.2k
Python
MIT
dormant3.8y ago
wiseodd/probabilistic-modelsGitHub

Educational NumPy implementations of probabilistic models; narrower (GMM/HMM/LDA) and old, but useful for that subset.

Collection of probabilistic models and inference algorithms

240
Python
BSD-3-Clause
dormant6.5y ago
xmu-xiaoma666/External-Attention-pytorchGitHub

PyTorch implementations of attention and MLP mechanisms; choose for a maintained, focused attention library instead of numpy-ml's minimal attention.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

12.2k
Python
MIT
active7mo ago

Listed as an alternative to

These projects were analysed and named numpy-ml among their alternatives. The relationship is not symmetric — how numpy-ml rates them is a separate judgement, made when numpy-ml is analysed in its own right.

labmlai/annotated_deep_learning_paper_implementationsGitHub

calls numpy-ml “choose it for NumPy implementations of a broad ML toolkit, more classic ML than paper notes.”

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

67.5kPythonslowing
aymericdamien/TensorFlow-ExamplesGitHub

calls numpy-ml “Choose for a thorough, self-contained NumPy implementation of ML algorithms, but it is inactive for years.”

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

43.7kJupyter Notebookdormant
eriklindernoren/ML-From-ScratchGitHub

calls numpy-ml “Older but similar; choose if you accept GPL and don't need recent updates.”

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

32.9kPythondormant
lazyprogrammer/machine_learning_examplesGitHub

calls numpy-ml “When you want GPL-licensed implementations of many ML models in NumPy, but it's older and unmaintained.”

A collection of machine learning examples and tutorials.

8.9kPythonactive