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287 search results found

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Advisor ⭐ 1,202

Open-source implementation of Google Vizier for hyper parameters tuning

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Gaussian Process Optimization using GPy

Optml_course ⭐ 761

EPFL Course - Optimization for Machine Learning - CS-439

Nextface ⭐ 599

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

Aerosandbox ⭐ 573

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

Modeling Examples ⭐ 487

Gurobi modeling examples

Quantum ⭐ 456

Optunity ⭐ 343

optimization routines for hyperparameter tuning

Evolopy ⭐ 331

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

Nd Pyomo Cookbook ⭐ 279

A repository of Pyomo examples.

Deeplearning.ai Notes ⭐ 271

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Navigan ⭐ 241

Navigating the GAN Parameter Space for Semantic Image Editing

Functional_intro_to_python ⭐ 239

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

Awesome Dl Projects ⭐ 237

This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.

Tutorial on "Modern Optimization Methods in Python"

Guided Evolutionary Strategies ⭐ 235

Guided Evolutionary Strategies

Np Hard Deep Reinforcement Learning ⭐ 231

pytorch neural combinatorial optimization

Deeplearningwithtf2.0 ⭐ 227

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

Bayesian Optimization ⭐ 218

Python code for bayesian optimization using Gaussian processes

The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.

Cpsat Primer ⭐ 170

Using and Understanding ortools' CP-SAT: A Primer and Cheat Sheet

K Means Constrained ⭐ 164

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

Optimization Python ⭐ 156

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

Surrogate Optimization Toolbox for Python

Deepaugment ⭐ 150

Discover augmentation strategies tailored for your dataset

Pyleecan ⭐ 139

Electrical engineering open-source software providing a user-friendly, unified, flexible simulation framework for the multiphysic design and optimization of electrical machines and drives

Jumptutorials.jl ⭐ 138

Tutorials on using JuMP for mathematical optimization in Julia

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Yet another black-box optimization library for Python

active learning for accelerated high-throughput virtual screening

Training Material ⭐ 114

A collection of code examples as well as presentations for training purposes

Cuopt Resources ⭐ 105

A collection of NVIDIA cuOpt samples and other resources

Quant Notes ⭐ 101

Quantitative Interview Preparation Guide, updated version here ==>

Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)

Kaggledays 2019 Gbdt ⭐ 93

Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Deep Learning Specialization Coursera ⭐ 92

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Optimising chemical reactions using machine learning

Psyclone ⭐ 92

Domain-specific compiler and code transformation system for Finite Difference/Volume/Element Earth-system models in Fortran

Hyperopt Doc Zh ⭐ 90

Github开源项目hyperopt系列的中文文档,以及学习教程等

Bayesian neural network package

Benderopt ⭐ 85

Black-box optimization library

A general-purpose, deep learning-first library for constrained optimization in Pytorch

Quantum_tsp_tutorials ⭐ 82

This repository contains code with tutorials of how to approach optimization problems using quantum computing.

Neural Structural Optimization ⭐ 82

Neural reparameterization improves structural optimization

Monolith ⭐ 80

A C++ monorepo for discrete and continuous optimization. Batteries included!

💎A site, that contains systematic optimization methods and theory review

Quantum Learning ⭐ 77

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

Deeplearningwithpytorch ⭐ 76

Olympus: a benchmarking framework for noisy optimization and experiment planning

Learningtolearn ⭐ 70

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

Market Making Backtest ⭐ 63

algo trading backtesting on BitMEX

Source code for the examples accompanying the paper "Learning convex optimization control policies."

Opensource_obia_processing_chain ⭐ 60

An open-source semi-automated processing chain for urban OBIA classification.

Optimization Fivt ⭐ 59

Lectures on optimization methods

Undergraduate In Statistics ⭐ 59

Using Computer with your Statistics Major Course

Route Optimizer Machine Learning ⭐ 58

Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.

Hyperparameter_optimization_strategies ⭐ 54

This is the Code for "How Do I Find the Best Hyperparameters?- The Math of Intelligence #7" By Siraj Raval on Youtube

Nagpythonexamples ⭐ 52

Examples and demos showing how to call functions from the NAG Library for Python

Peptimizer ⭐ 51

Peptide optimization with Machine Learning

Keras_gpyopt ⭐ 51

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Diffgrad ⭐ 51

diffGrad: An Optimization Method for Convolutional Neural Networks

Nn4topopt ⭐ 50

Code for "Neural Networks for Topology Optimization"

Opticalcnn ⭐ 50

hybrid optical electronic convolutional neural networks

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.

Lava Optimization ⭐ 47

Neuromorphic mathematical optimization with Lava

Airbnb Dynamic Pricing Optimization ⭐ 47

[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.

Ipython_notebooks ⭐ 45

Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.

S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.

Sta 663 2019 ⭐ 43

Course notes for Computational Statistics and Statistical Compuing

Policy Learning Landscape ⭐ 42

Explore the optimization landscape for direct policy learning reinforcement learning.

Lectures2020 ⭐ 42

Exproptimization.jl ⭐ 42

Algorithms for optimization of Julia expressions

Python based continuous adjoint optimization wrapper for Lumerical

Numerics Notes ⭐ 40

Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

Cvx101 Hw With Python ⭐ 39

Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

Caffe Moon ⭐ 39

This repo is re-implement "MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes"

Waveblocks ⭐ 39

Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.

Post Bayesian Optimization ⭐ 37

Exploring Bayesian Optimization

Deep Learning Optimization Algorithms ⭐ 37

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

Deep Learning Specialization Coursera ⭐ 36

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

Convex Optimization Class ⭐ 36

APPM 5630 at CU Boulder

Differentiable Shadow Mapping ⭐ 36

Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)

Occamypy ⭐ 34

Python library for solving large-scale inverse problems

Internet_of_things_optimization ⭐ 33

This is the code for "Internet of Things Optimization" By Siraj Raval on Youtube

Examples ⭐ 33

Examples using COFII, the Chevron Optimization Framework for Imaging and Inversion.

Keras Hypetune ⭐ 33

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Paretoset ⭐ 32

Compute the Pareto (non-dominated) set, i.e., skyline operator/query.

Optimizationcourse ⭐ 32

Processoptimizer ⭐ 32

A tool to optimize real world problems

Macro With Python ⭐ 31

Macro with Python

Tvm In Action ⭐ 31

TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together

GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.

A Tour Of Pytorch Optimizers ⭐ 30

A tour of different optimization algorithms in PyTorch.

Estimation of Distribution algorithms Python package

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