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

经典机器学习算法的极简实现

Essential NLP & ML, short & fast pure Python code

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

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。

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Aviation grade news article metadata extraction

Minimalistic Multiple Layer Neural Network from Scratch in Python.

🔍 Character Recognition Using Single-layer Perceptron Neural Network.

Creating Logic Functions [AND, OR, NOT, XNOR, XOR, NAND, etc] using Neural Network

Hand Gesture Recognition using CNNs and Perceptrons in realtime (OpenCV)

Basic implementation of a Perceptron in Python. The Perceptron is trained with input data, adjusting weights and bias to predict outputs based on new values.

This project involves recognising handwritten digits from MNIST Dataset from UCI ML repository by implementing perceptron learning algorithm on 10 perceptrons(single layer Neural Network) and multilayer Neural Network.

1. Perceptron: The very basic entity in Machine Learning. It's training and weights update in code. 2. Image Aesthetic Assessment: Determining the aesthetic content of an image. The network defined use Spatial Pyramid Pooling. 3. Image Classification: Alexnet architecture in Keras for image classification. Find more here

Implementation of Artificial Intelligence models without using any blackbox or libraries 😎

Gender classification by name

Here are some programs made with Python and JavaScript (p5.js) related to artificial intelligence.

The goal of this project is to design a classifier to use for sentiment analysis of product reviews. Our training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.