Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

A flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.

Fast/non-data-aided single image highlight removal methods in MATLAB/GNU Octave

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

A curated list of natural language processing courses, video lectures, books, library and many more.

Use a robot to answer queries on financial data by integrating with the IBM Watson Assistant service and IBM Watson Studio

A starter bot written in Java for the pokerwars.io platform. To play: pull this code, register on pokerwars.io, get your API token and play!

A curated list of awesome reinforcement courses, video lectures, books, library and many more.

Product of Pragmatic AI Labs: Machine Learning, Statistics and Utilities around Developer Productivity, Company Productivity and Project Productivity

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

A starter bot written in javascript for the pokerwars.io platform. To play: pull this code, register on pokerwars.io, get your API token and play!

A simple unsupervised on-line learning architecture

Common software packages for MIL repositories

Fundamentals of Deep Learning

Legacy OpenCV Machine Learning Examples (2.4.x, C++)

The sophia project is the coding-based tutorial for machine intelligence (MI) and artificial intelligence (AI).

Notes of deep learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville

EE4-13 Adaptive Signal Processing and Machine Intelligence (2017-2018) Coursework

Our playground for learning and experimenting with artificial intelligence

Computer-vision meets... cats and dogs!

A tiny yet flexable framework for (HTM) Hierarchical Temporal Memory

Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.

Pingpong artificial intelligence 🤖

ml5 - Simple Image Classification using MobileNet