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

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Soot - A Java optimization framework

svg path sorter for more efficient (pen)plotting.

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Task-based end-to-end model learning in stochastic optimization

Fsharp LInear Programming System

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

yet another general purpose naive bayesian classifier.

Tutorial on model assessment, model selection and inference after model selection

Anomaly detection for temporal data using LSTMs

On-device Neural Engine

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

⚡ Useful scripts when using TensorRT

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much, much more.

A Julia/JuMP Package for Power Network Optimization

Openwrt firmware with SFE and FlowOffload

Access v8 Engine Natives easily in Chrome & Node

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

State-of-the art Automated Machine Learning python library for Tabular Data

Gaussian Process Motion Planner 2

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

🔍 A helpful checklist/collection of Search Engine Optimization (SEO) tips and techniques.

No description or website provided.

Python package for signal processing, with emphasis on iterative methods

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

📚A list of core knowledge that most Android programmers need to know. (continuously updated...)

Stochastic Dual Dynamic Programming in Julia

Examples of C# code compiled to GPU by hybridizer

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

🚀 🐍 Optimizes Python bytecode calculating linear recurrences

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Notes for Deep Learning Specialization Courses led by Andrew Ng.

🧠 React memoization library we all deserve

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

⚡️ A lightning fast HTTP router

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

An interactive online reading of McElreath's Statistical Rethinking

Scala Library/REPL for Machine Learning Research

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Asynchronous Distributed Hyperparameter Optimization.

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

MTuner is a C/C++ memory profiler and memory leak finder for Windows, PlayStation 4 and 3, Android and other platforms

Comparison of IQA models in Perceptual Optimization

🌅 next-optimized-images automatically optimizes images used in next.js projects (jpeg, png, svg, webp and gif).

Collection of structured data snippets in Google preferred JSON-LD format.

a lightweight and simple logger for Machine Learning

Fast & scalable MCMC for all your exoplanet needs!

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

🦐 Electromagnetic Simulation + Automatic Differentiation

Fast and scalable design of risk parity portfolios

Scalable 1D Gaussian Processes in C++, Python, and Julia

[UNMAINTAINED] Automated machine learning for analytics & production

Jupyter-friendly Python interface for C++ MINUIT2

Online video stabilization using a novel MeshFlow motion model

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

Optimus is a mathematical programming library for Scala.

Local, global, and beyond optimization for scientific machine learning (SciML)

A general-purpose probabilistic programming system with programmable inference