Stars
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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 ht…
Code for the paper "Jukebox: A Generative Model for Music"
Dockerize and deploy machine learning model as REST API using Flask
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Research papers with annotations, illustrations and explanations
A place to collect resources shared bythe community of Intel® Edge AI Foundation course
State of the Art Natural Language Processing
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
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 ;)
(Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
PyMC educational resources
Bayesian Modeling and Probabilistic Programming in Python
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
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 f A1BD or b…
Evolving a neural network with a genetic algorithm.
source code from the book Genetic Algorithms with Python by Clinton Sheppard
Production infrastructure for machine learning at scale
Low-code framework for building custom LLMs, neural networks, and other AI models
TypeDB: the power of programming, in your database
A curated list of awesome knowledge graph tutorials, projects and communities.
Tutorial and example code for BURLAP (http://burlap.cs.brown.edu)
Repository for the ongoing development of the Brown-UMBC Reinforcement Learning And Planning (BURLAP) java library
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"