Task-based end-to-end model learning in stochastic optimization
Task-based end-to-end model learning in stochastic optimization
A reinforcement learning toolkit for compiler optimizations
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks.
Supervised Contrastive Learning for Downstream Optimized Sequence Representations
Supervised Contrastive Learning for Downstream Optimized Sequence Representations
Brainfuck rollup scaling experiment for fun
Ever wanted to run Brainfuck on ethereum? Don't ask, now you can! And at a fraction of the cost, thanks to optimistic rollup tech!
A Python package for design optimization of engineered systems such as aircraft
AeroSandbox is a Python package for design optimization of engineered systems such as aircraft.
Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization
Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization
Topology optimization combining OpenFOAM® and FEniCS/dolfin-adjoint
Interface for implementing topology optimization with the simulation from OpenFOAM® and the automatically derived adjoint model from FEniCS/dolfin-adjoint.
A library containing various optimizers for hyperparameter tuning
optimization routines for hyperparameter tuning
Hyperopt: Distributed Hyperparameter Optimization
Hyperopt: Distributed Hyperparameter Optimization
SafeOpt: Safe Bayesian Optimization
SafeOpt: Safe Bayesian Optimization
A Python implementation of global optimization with gaussian processes
A Python implementation of global optimization with gaussian processes
Solid: a Python framework for gradient-free optimization
A comprehensive gradient-free optimization framework written in Python
A research toolkit for particle swarm optimization in Python
A research toolkit for particle swarm optimization in Python
A Free and Open Source Python Library for Multiobjective Optimization
A Free and Open Source Python Library for Multiobjective Optimization
A python library for nonlinear local and global optimization
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
A cross-platform Python library for differentiable programming of quantum computers
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
GNPy: Optical Route Planning and DWDM Network Optimization
GNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks.
An AI constraint solver for Python to optimize the Vehicle Routing Problem
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling
The Lux AI Challenge: a competition where competitors design agents to tackle a multi-variable optimization
The Lux AI Challenge: a competition where competitors design agents to tackle a multi-variable optimization
A free and open source Trading View bot written in Python
Let Python optimize the best stop loss and take profits for your TradingView strategy
A Feed forward VQGAN-CLIP model with python
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
Optimized code based on M2 for faster image captioning training
Optimized code based on M2 for faster image captioning training
scrilla: A Financial Optimization Application
scrilla: A Financial Optimization Application
A python application that wraps around AlphaVantage, Quandl and IEX APIs
A python application that wraps around AlphaVantage, Quandl and IEX APIs, calculates financial statistics and optimizes portfolio allocations.
Utilizing the freqtrade high-frequency cryptocurrency trading framework to build and optimize trading strategies
Utilizing the freqtrade high-frequency cryptocurrency trading framework to build and optimize trading strategies
Animating the Optimization Trajectory of Neural Nets
Create animations for the optimization trajectory of neural nets
Domain-specific compiler for Finite Difference/Volume/Element Earth-system models in Fortran
PSyclone is a code generation system that generates appropriate code for the PSyKAl code structure developed in the GungHo project.
Popular predictive models and optimizers implemented in numpy
Simple linear model implementations from scratch.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
An optimization technique based on ideas of adaptation and evolution
Evolution Strategy (ES) is an optimization technique based on ideas of adaptation and evolution.
A python software package to perform Bayesian optimization
Spearmint is a software package to perform Bayesian optimization. The Software is designed to automatically run experiments (thus the code name spearmint)
How to use COG's (Cloud optimized GeoTIFFs) with Rasterio
Think about the following case: You want to analyze the NDVI of your local 1km² park by using Sentinel 2 geoTIFF imaginery.
Konomi: Kind and Optimized Next brOadcast watching systeM Infrastructure
Konomi: Kind and Optimized Next brOadcast watching systeM Infrastructure
Constrained Graphic Layout Generation via Latent Optimization
This repository provides the official code for the paper “Constrained Graphic Layout Generation via Latent Optimization”, especially the code for:
Differentiable Factor Graph Optimization for Learning Smoothers
Differentiable Factor Graph Optimization for Learning Smoothers
Neural Combinatorial Optimization with Reinforcement Learning In PyTorch
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning.
An auto-tuning optimizer based on momentum SGD
YellowFin is an auto-tuning optimizer based on momentum SGD which requires no manual specification of learning rate and momentum.
A collection of optimizers for PyTorch compatible with optim module
torch-optimizer -- collection of optimizers for PyTorch compatible with optim module.
PyTorch Extension Library of Optimized Scatter Operations
PyTorch Extension Library of Optimized Scatter Operations.
A python library providing support for higher-order optimization
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
Swarm Intelligence in Python
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm,Artificial Fish Swarm Algorithm in Python
Pytorch implementation of Distributed Proximal Policy Optimization
Pytorch implementation of Distributed Proximal Policy Optimization
Adversarial Training Against Location-Optimized Adversarial Patches
Adversarial Training Against Location-Optimized Adversarial Patches
Maze Applied Reinforcement Learning Framework
MazeRL is an application oriented Deep Reinforcement Learning (RL) framework
Black box hyperparameter optimization made easy
Black box hyperparameter optimization made easy.
Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Official Pytorch implementation of 'GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network' (NeurIPS 2020)
SQLite, concurrent scheduler, hundreds of hours of optimization
Fast as FUCK nvim completion. SQLite, concurrent scheduler, hundreds of hours of optimization.
Cloud Optimized GeoTIFF creation and validation plugin for rasterio
Cloud Optimized GeoTIFF (COG) creation and validation plugin for Rasterio.
Surface Reconstruction from 3D Line Segments
Implementation for the "Surface Reconstruction from 3D Line Segments" paper.