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eriklindernoren/ML-From-Scratch

Learning & listsPython#machine-learning#deep-learning#deep-reinforcement-learning#machine-learning-from-scratch#data-science
Total stars
33,232
Today
+6since 11:01 UTC
Open on GitHub My finds →
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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.

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About the project

A collection of machine learning models and algorithms implemented from scratch in NumPy, from linear regression to deep learning, focused on showing how they work internally rather than on performance.

Useful for
  • Study how a CNN, GAN or DBSCAN is implemented step by step in NumPy
  • Run example scripts to train a model on MNIST or CartPole and inspect the output
  • Use the code as a reference when writing your own ML algorithm from scratch

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate. Read the original README →

2.7 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of November 1, 2026, 13:16 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

04080August 4, 2026November 1, 2026

Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-11-01 (UTC), 11:01–13:09: 33226 → 33232 stars (+6). This is the change over that interval.
  • Estimated end-of-day forecast: about +16 stars, using observed gains and the previous day.
  • Over the last two days the pace is 1.7× that of the previous week and a half.
  • GitHub Trending Python today: #16, +36 stars.
  • About 10 forks a day — people are taking the code.
  • Recent forks include notable developers: @vishalbelsare (256 followers).

Measured growth: the last 7 completed days

New stars over 7 days: 111. -13% versus the preceding 7 days.

Daily measurements · UTC
October 25, 2026
8
October 26, 2026
9
October 27, 2026
8
October 28, 2026
8
October 29, 2026
6
October 30, 2026
37
October 31, 2026
35

Largest measured day in the last 30 days: 74 · October 23, 2026. Days with data: 30.

Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: November 1, 2026, 13:15 UTC. Sources and measurement limits →

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
33,232
Today
+6 stars measured 2026-11-01, 11:01–13:09 UTC, ≈ 16 by evening
Forks
5,529
Issues and pull requests
144
Watchers
969
Language
Python
License
MIT
Created
February 5, 2017
Last push
October 15, 2023

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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GitNova: 2.7
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