83 Open source projects that are alternatives of or similar to cr-sparse

Sparse matrix formats for linear algebra supporting scientific and machine learning applications

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

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Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

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Chef Transformer 🍲 .

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

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👩 Pytorch and Jax code for the Madam optimiser.

Unofficial JAX implementations of deep learning research papers

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

Awesome list for Neural Network Optimization methods.

JAX implementations of core Deep RL algorithms

Information Retrieval in High Dimensional Data (class deliverables)

ADAM implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

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EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

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ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives (Deep RL Workshop 2021)

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

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

The Operator Splitting QP Solver

Wolfram Language interface to the Gurobi numerical optimization library

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

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

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

Análisis numérico y cómputo científico

KoCLIP: Korean port of OpenAI CLIP, in Flax

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

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