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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

attention-learn-to-route

Attention based model for learning to solve different routing problems

bayesian-ntk

Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'

dcl_cameranui

dcl_quadrics

DCL_Quadrics

deep_contextual_bandits

This is a pratial fork of the repo posted by Carlos Riquelme https://github.com/rikel/models/tree/master/research/deep_contextual_bandits

depth

discode

DisCODe - Distributed Component Oriented Data Processing

go-pipeline-sample

gradientepisodicmemory

Continuum Learning with GEM: Gradient Episodic Memory

graph-convnet-tsp

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

inferenceengine

Inference engine for 3D object recognition in Prolog

linux_config

My Linux configuration files

mab_sandbox

Exploring and exploiting multi-armed bandit strategies

machine_learning_class

This repo follows the class material of ENGG*6500 at the University of Guelph

mintapi

a screen-scraping API for Mint.com

models

Models and examples built with TensorFlow

multi-armed-bandits

In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandits) and Kernel UCB. Some of the well cited papers in this context are also implemented.

muygpys

A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

neural-linear-bandits-with-likelihood-matching

neural-tangent-kernel-uci

Testing Nerual Tangent Kernel (NTK) on small UCI datasets

neuralkernelbandits

neuralts

neuralucb

ntk-sketch-rf

Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features

project-pages

Fork this repo for a quick start. If "Project Timeline" or "License" appeared on your nav bar, Look Below!

pylearn2

A Machine Learning library based on Theano

pymaxent

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.