I built 10 ML algos from scratch because fit() predict() are not enough
Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch. - ml-from-scratch-book/code
I built 10 ML algos from scratch because fit() predict() are not enough launched on June 9, 2026 with 6 votes, #2,066 of 22,647 launches that month and more than 75% of that year's launches.
What it does
Companion code repository for Machine Learning From Scratch . Machine Learning From Scratch opens the "black box" behind fit() and predict() . Anyone with basic Python and high-school math can fully understand and build core ML algorithms from scratch via a 5-stage framework: git clone https://github.com/ml-from-scratch-book/code.git cd code pip install -r requirements.txt Alternatively, every notebook can be opened directly in Google Colab with no local setup — go to colab.research.google.com and import from GitHub. Introduces the core ideas and definitions behind machine learning — what an algorithm is, what a model is, and what role data plays in all of it. Uses relatable analogies to…from github.com
Does a similar job
all alternatives →
ML From Scratch – free online textbook2020 · dafriedman97.github.io · ▲259
I wrote a minimal deep learning library from scratch in Python2021 · github.com · ▲25A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
Compile ML models into dependency-free source code for easy deployment2023 · waveworks.dk · ▲37I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video
Source: Show HN post ↗
Launched alongside, June 2026
the whole month →
Fundraisly▲1,537AI fundraising agent that finds investors and books meetings
AI · Jun 2026 · fundraisly.com
Homebrew 6.0.0▲1,481Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
Dev tools · Jun 2026 · brew.sh
Hi HN! I was super frustrated at apps like tiktok and wechat preventing me from saving or downloading the animated gifs, so I made a little tool to turn a screen recording into a slack-sized emoji. Hope you get some value from this!
Life & fun · Jun 2026 · vorpus.github.io
Search 18 years of Hacker News and chart how any topic, tool, or person trended. Overlay terms to compare their rise and fall across 45M posts and comments.
Life & fun · Jun 2026 · hackernewstrends.com