ytangukyo

brainflow

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

vscode-dev-containers

NOTE: Most of the contents of this repository have been migrated to the new devcontainers GitHub org (https://github.com/devcontainers). See https://github.com/devcontainers/template-starter and https://github.com/devcontainers/feature-starter for information on creating your own!

jukebox

Code for the paper "Jukebox: A Generative Model for Music"

Deploy-machine-learning-model

Dockerize and deploy machine learning model as REST API using Flask

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

papers-with-annotations

Research papers with annotations, illustrations and explanations

resources-intel-edge-ai-scholarship-2020

A place to collect resources shared bythe community of Intel® Edge AI Foundation course

spark-nlp

State of the Art Natural Language Processing

awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

PyTorch-NEAT

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pymc4

Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.

pymc-resources

PyMC educational resources

pymc

Bayesian Modeling and Probabilistic Programming in Python

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

neural-network-genetic-algorithm

Evolving a neural network with a genetic algorithm.

GeneticAlgorithmsWithPython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

cortex

Production infrastructure for machine learning at scale

ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

typedb

TypeDB: one giant leap for databases

knowledge-graph-learning

A curated list of awesome knowledge graph tutorials, projects and communities.

KnowledgeGraphCourse

东南大学《知识图谱》研究生课程

burlap_examples

Tutorial and example code for BURLAP (http://burlap.cs.brown.edu)

burlap

Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library

prolog

Exercism exercises in Prolog.

common-lisp

Exercism exercises in Common Lisp.

aima-python

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

aima-lisp

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