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1,310 search results found

Python package for signal processing, with emphasis on iterative methods

Show Control And Tell ⭐ 273

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019

Iminuit ⭐ 272

Jupyter-friendly Python interface for C++ MINUIT2

Asynchronous Distributed Hyperparameter Optimization.

Environments for OR and RL Research

Optimum Intel ⭐ 268

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

LibAUC: A Deep Learning Library for X-Risk Optimization

Python binding of SLAM graph optimization framework g2o

Btplotting ⭐ 259

btplotting provides plotting for backtests, optimization results and live data from backtrader.

Photometric_optimization ⭐ 256

Photometric optimization code for creating the FLAME texture space and other applications

Riskparity.py ⭐ 255

Fast and scalable construction of risk parity portfolios

Pytorch Trpo ⭐ 252

PyTorch implementation of Trust Region Policy Optimization

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.

Maze Applied Reinforcement Learning Framework

Functional_intro_to_python ⭐ 239

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

Sparse Optimisation Research Code

Kernel_tuner ⭐ 236

Svgsort ⭐ 234

svg path sorter for more efficient (pen)plotting.

Spatial Optimization

Robust Stochastic Optimization Made Easy

Tensorflow_constrained_optimization ⭐ 233

Implementation of Meta-Learning with Latent Embedding Optimization

Deeplearningwithtf2.0 ⭐ 227

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

Serverless Layers ⭐ 221

Serverless.js plugin that implements AWS Lambda Layers which reduces drastically lambda size, warm-up and deployment time.

Represent trained machine learning models as Pyomo optimization formulations

Optlang ⭐ 219

optlang - sympy based mathematical programming language

Piecewise_linear_fit_py ⭐ 218

fit piecewise linear data for a specified number of line segments

Bayesian Optimization ⭐ 218

Python code for bayesian optimization using Gaussian processes

Gpflowopt ⭐ 218

Bayesian Optimization using GPflow

emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

Python/C++ library for Dynamical Movement Primitives and Black-Box Optimization

Superstring.py ⭐ 215

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

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Learningx ⭐ 213

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A collection of classes providing simple hardware specification, simulation, tracing, and testing suitable for teaching and research. Simplicity, usability, clarity, and extendability rather than performance or optimization is the overarching goal.

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

Spins B ⭐ 204

Photonic optimization library

Estimagic ⭐ 204

Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.

Alive: Automatic LLVM's Instcombine Verifier

Autogoal ⭐ 203

A Python framework for program synthesis with a focus on Automated Machine Learning.

Openturns ⭐ 203

Uncertainty treatment library

Learn2branch ⭐ 201

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

Neuralgenetic ⭐ 201

Building and training artificial neural networks (regression or classification) using the genetic algorithm.

AKG (Auto Kernel Generator) is an optimizer for operators in Deep Learning Networks, which provides the ability to automatically fuse ops with specific patterns.

Fewshotlearning ⭐ 199

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

Trieste ⭐ 196

A Bayesian optimization toolbox built on TensorFlow

Auptimizer ⭐ 195

An automatic ML model optimization tool.

Pytorch Minimize ⭐ 195

Newton and Quasi-Newton optimization with PyTorch

Benchopt ⭐ 193

Making your benchmark of optimization algorithms simple and open

Rigid transforms + Lie groups, in JAX

Pyoptsparse ⭐ 191

pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner.

Grammarvae ⭐ 189

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

Implementations of classic Machine Learning algorithms

Optimistix ⭐ 185

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

A bare-bones Python library for quality diversity optimization.

Pypesto ⭐ 183

python Parameter EStimation TOolbox

RBFOpt library for black-box optimization

Kfac Jax ⭐ 178

Second Order Optimization and Curvature Estimation with K-FAC in JAX.

Pyswarm ⭐ 178

Particle swarm optimization (PSO) that supports constraints

Photometric Mesh Optim ⭐ 176

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction 🌐 (CVPR 2019)

L4casadi ⭐ 175

Use PyTorch Models with CasADi and Acados in Python, C(++) or Matlab

Cpmoptimize ⭐ 173

🚀 🐍 Optimizes Python bytecode calculating linear recurrences, reducing the time complexity from O(n) to O(log n)

Open Source Optimization of Dynamic Multidisciplinary Systems

Investment portfolio and stocks analyzing tools for Python with free historical data

K Means Constrained ⭐ 164

K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

Python Graphslam ⭐ 160

Graph SLAM solver in Python

Brutalityextractor ⭐ 160

适用于高性能系统的多进程解压缩软件(A multiprocess decompression software for high-performance system)

Openaerostruct ⭐ 160

OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.

HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt. This package is discontinued, please read the longer note in the info box below.

Optimization Python ⭐ 156

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

Quantum Neural Networks ⭐ 156

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.

Factor graphs and nonlinear least squares for JAX

M-LOOP: Machine-learning online optimization package

Siconos ⭐ 153

Simulation framework for nonsmooth dynamical systems

Channelbreakoutbot ⭐ 151

Channel Breakout Bot for bitflyer-FX

Pix2latent ⭐ 149

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

Yopo You Only Propagate Once ⭐ 148

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

Efficient Task Space Inverse Dynamics (TSID) based on Pinocchio

Constrained Policy Optimization

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3

E2e Model Learning ⭐ 133

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

Pytorch Sso ⭐ 131

PyTorch-SSO: Scalable Second-Order methods in PyTorch

Learn To Select Data ⭐ 131

Code for Learning to select data for transfer learning with Bayesian Optimization

MONeT framework for reducing memory consumption of DNN training

Easyreg ⭐ 130

an image registration/augmentation/segmentation package

Pytorch Dppo ⭐ 129

Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286

Yoga Image Optimizer ⭐ 127

A graphical tool to convert and optimize JPEG, PNG and WebP images (based on YOGA)

Yet another black-box optimization library for Python

Mlogger ⭐ 127

a lightweight and simple logger for Machine Learning

Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution. Accelerates model or experiment runs.

Geometric ⭐ 125

Geometry optimization code that includes the TRIC coordinate system

Global_racetrajectory_optimization ⭐ 124

This repository contains multiple approaches for generating global racetrajectories.

Python package for modular Bayesian optimization

Zoo Attack ⭐ 123

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks

Georaptor ⭐ 122

Python Geohash Compression Tool

A Python library for mathematical optimization

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