Plain python implementations of basic machine learning algorithms

Various ipython notebooks

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Simple machine learning library / 簡單易用的機器學習套件

A curated list of awesome papers on Embodied AI and related research/industry-driven resources.

Six snippets of code that made deep learning what it is today.

经典机器学习算法的极简实现

A single / multi layer / recurrent neural network written in Golang.

Deep Learning From Scratch

a collection of my notes on deep learning

Using Java Swing to implement single layer perceptron neural network.

A perceptron written in COBOL

Simple multilayer perceptron c++ implementation.

Essential NLP & ML, short & fast pure Python code

A speculative mechanism to accelerate long-latency off-chip load requests by removing on-chip cache access latency from their critical path, as described by MICRO 2022 paper by Bera et al. (https://arxiv.org/pdf/2209.00188.pdf)

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Golang Neural Network

A collection of machine learning algorithms for online linear classification written in Common Lisp

The simplest Perceptron you'll ever see

Python＆機械学習ライブラリ TensorFlow の使い方の練習コード集。特にニューラルネットワークを重点的に取り扱い。