60 Open source projects that are alternatives of or similar to pycsou

Functional models and algorithms for sparse signal processing

Proximal operators for nonsmooth optimization in Julia

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

Improving MMD-GAN training with repulsive loss function

Optimization sample codes on Python

Wolfram Language interface to the Gurobi numerical optimization library

모두를 위한 컨백스 최적화

Seminars on optimization methods for DIHT MIPT

C3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)

Python for ultrashort laser pulse retrieval

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

The Operator Splitting QP Solver

🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"

Awesome list for Neural Network Optimization methods.

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Análisis numérico y cómputo científico

Slides and notebooks for my tutorial at PyData London 2018

A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex spaces.

Linear Operators for Julia

FlexBox is a fexible MATLAB toolbox for finite dimensional convex variational problems in image processing and beyond.

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

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

A loss function for categories with a hierarchical structure.

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning

APPM 5630 at CU Boulder

Computational Tomography in PyTorch

Generalized Deep Metric Learning.

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

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

MoveIt kinematics_base plugin based on particle optimization & GA

A course on Optimization Methods

Convex optimization for java and scala, built on Apache Commons Math

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

Large scale convex optimization solvers in julia

A document covering machine learning basics. 🤖📊

A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.

Iterative unfolding for Python

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)

ExaDG - High-Order Discontinuous Galerkin for the Exa-Scale

Semidefinite programming optimization solver

A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging

A JavaScript library to allocate and optimize financial portfolios.

ChaosMagPy is a simple python package for evaluating the CHAOS geomagnetic field model.

A Perspective-n-Points-and-Lines method.

Julia Devito inversion.

some loss functions of image segmentation

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Official repository for "Orthogonal Projection Loss" (ICCV'21)

Deep learning framework for MRI reconstruction

Tensorflow NCE loss in Keras

Making your benchmark of optimization algorithms simple and open

Collection of popular and reproducible image denoising works.

Information Retrieval in High Dimensional Data (class deliverables)

StyleGAN Encoder - converts real images to latent space

Caffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression

Distances to sets for MathOptInterface

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.