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__mo_san__'s Projects

mml-companion icon mml-companion

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

models icon models

Models and examples built with TensorFlow

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nest icon nest

A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications on top of TypeScript & JavaScript (ES6, ES7, ES8) 🚀

nnfs_book icon nnfs_book

Sample code from the Neural Networks from Scratch book.

pgx-samples icon pgx-samples

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

practical-ml icon practical-ml

Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.

printf icon printf

PRINTF : Because 'putnbr' and 'putstr' aren’t enough. This is a library that contains ft_printf, a function that will mimic the real printf

pypdf2 icon pypdf2

A utility to read and write PDFs with Python

pytorchstepbystep icon pytorchstepbystep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

stat-learning icon stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

structures icon structures

this repository contains a simple implementation to the most famous and useful data structures involving linear and non-linear ones

tch-rs icon tch-rs

Rust bindings for the C++ api of PyTorch.

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