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Author SHA1 Message Date
Clifford Fajardo
03c5e64d9b
Merge cd054ec5de into 264b4547b3 2026-06-29 10:40:48 +01:00
Paul Kuruvilla
264b4547b3
Merge pull request #1812 from roiamiel1/add-build-deep-learning-from-scratch 
add Build Your Own PyTorch
 2026-06-25 20:11:09 +05:30
RoiAmiel
750f70669b
Update link for 'Build Deep Learning From Scratch' 2026-06-23 22:14:39 +03:00
Roi Amiel
1b3cb7479d add build add-build-deep-learning-from-scratch 2026-06-21 21:00:09 +03:00
Clifford Fajardo
cd054ec5de
Databases - Build Your Own ORM 2019-11-16 17:13:05 -08:00
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@ -147,7 +147,9 @@ It's a great way to learn.
* [**Go**: _Code a database in 45 steps: a series of test-driven small coding puzzles_](https://trialofcode.org/database/) * [**Go**: _Code a database in 45 steps: a series of test-driven small coding puzzles_](https://trialofcode.org/database/)
* [**Go**: _Build Your Own Redis from Scratch_](https://www.build-redis-from-scratch.dev/) * [**Go**: _Build Your Own Redis from Scratch_](https://www.build-redis-from-scratch.dev/)
* [**JavaScript**: _Dagoba: an in-memory graph database_](http://aosabook.org/en/500L/dagoba-an-in-memory-graph-database.html) * [**JavaScript**: _Dagoba: an in-memory graph database_](http://aosabook.org/en/500L/dagoba-an-in-memory-graph-database.html)
* [**JavaScript**: _Build your own ORM_](https://learn.co/lessons/javascript-orm-intro)
* [**Python**: _DBDB: Dog Bed Database_](http://aosabook.org/en/500L/dbdb-dog-bed-database.html) * [**Python**: _DBDB: Dog Bed Database_](http://aosabook.org/en/500L/dbdb-dog-bed-database.html)
* [**Python**: _Build your own ORM_](https://www.youtube.com/watch?v=6rw0p9AOYb8)
* [**Python**: _Write your own miniature Redis with Python_](http://charlesleifer.com/blog/building-a-simple-redis-server-with-python/) * [**Python**: _Write your own miniature Redis with Python_](http://charlesleifer.com/blog/building-a-simple-redis-server-with-python/)
* [**Ruby**: _Build your own fast, persistent KV store in Ruby_](https://dineshgowda.com/posts/build-your-own-persistent-kv-store/) * [**Ruby**: _Build your own fast, persistent KV store in Ruby_](https://dineshgowda.com/posts/build-your-own-persistent-kv-store/)
* [**Rust**: _Build your own Redis client and server_](https://tokio.rs/tokio/tutorial/setup) * [**Rust**: _Build your own Redis client and server_](https://tokio.rs/tokio/tutorial/setup)
@ -264,6 +266,7 @@ It's a great way to learn.
* [**JavaScript / Java**: _Neural Networks - The Nature of Code_](https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh) [video] * [**JavaScript / Java**: _Neural Networks - The Nature of Code_](https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh) [video]
* [**JavaScript**: _Neural networks from scratch for JavaScript linguists (Part1 — The Perceptron)_](https://hackernoon.com/neural-networks-from-scratch-for-javascript-linguists-part1-the-perceptron-632a4d1fbad2) * [**JavaScript**: _Neural networks from scratch for JavaScript linguists (Part1 — The Perceptron)_](https://hackernoon.com/neural-networks-from-scratch-for-javascript-linguists-part1-the-perceptron-632a4d1fbad2)
* [**Python**: _A Neural Network in 11 lines of Python_](https://iamtrask.github.io/2015/07/12/basic-python-network/) * [**Python**: _A Neural Network in 11 lines of Python_](https://iamtrask.github.io/2015/07/12/basic-python-network/)
* [**Python**: _Build Deep Learning From Scratch (reimplement PyTorch internals across 34 stages)_](https://github.com/roiamiel1/Build-Deep-Learning-From-Scratch)
* [**Python**: _Implement a Neural Network from Scratch_](https://victorzhou.com/blog/intro-to-neural-networks/) * [**Python**: _Implement a Neural Network from Scratch_](https://victorzhou.com/blog/intro-to-neural-networks/)
* [**Python**: _Optical Character Recognition (OCR)_](http://aosabook.org/en/500L/optical-character-recognition-ocr.html) * [**Python**: _Optical Character Recognition (OCR)_](http://aosabook.org/en/500L/optical-character-recognition-ocr.html)
* [**Python**: _Traffic signs classification with a convolutional network_](https://navoshta.com/traffic-signs-classification/) * [**Python**: _Traffic signs classification with a convolutional network_](https://navoshta.com/traffic-signs-classification/)