652 Open source projects that are alternatives of or similar to Cornell Moe

Statistical Rethinking course in pymc3

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

Implementations of the ICML 2017 paper (with Yarin Gal)

Differentiable Gaussian Process implementation for PyTorch

Generalized and Efficient Blackbox Optimization System.

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

A scikit-learn compatible implementation of hyperband

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Materials of the Nordic Probabilistic AI School 2019.

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

customized GPflow with simple Tensorflow API

A Clojure machine learning library

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Library for Semi-Automated Data Science

Collection of probabilistic models and inference algorithms

Bayesian Deep Learning: A Survey

ELFI - Engine for Likelihood-Free Inference

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Probabilistic Programming with Gaussian processes in Julia

Bayesian Reinforcement Learning in Tensorflow

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

A highly efficient and modular implementation of Gaussian Processes in PyTorch

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

A fast and memory-optimized string library for C++

MATLAB toolbox for optimization modeling

A header-only C++ library for L-BFGS and L-BFGS-B algorithms

A general and flexible factor graph non-linear least square optimization framework

Adaptive query optimization for PostgreSQL

OpenMDAO repository.

Visualize how much space each asset in your Unity game takes and quickly optimize your game's file size

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A framework for single/multi-objective optimization with metaheuristics

Mathematical optimization in pure Rust

A fast and memory-optimized string library for heavy-text manipulation in Python

[tutorial]A functional, Data Science focused introduction to Python

A JavaScript bundle optimizer.

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

A curated list of Awesome Go performance libraries and tools

Contains maps for the article, "Computing the optimal road trip across the U.S." and similar articles

A tool for monitoring webpack optimization metrics through the development process

Lightweight justice for your single-board computer!

Optimize PNG, JPEG, GIF, SVG images with gulp task.

Generate Data-URI scheme via terminal or node.js

Mesh optimization library that makes meshes smaller and faster to render

An app performance monitor(APM) , like "Android Studio profiler", you can easily monitor the performance of your app real time in browser

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

OrangeC Compiler And Tool Chain

Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

Optimize PNG, JPEG, GIF, SVG images with grunt task.

Operator Discretization Library https://odlgroup.github.io/odl/

Fast and embedded solvers for nonlinear optimal control

R package to model Mixed Integer Linear Programs