scikit-fda: A Python Package for Functional Data Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Ramos-Carreño, Carlos, Torrecilla, José Luis, Carbajo-Berrocal, Miguel, Marcos, Pablo, Suárez, Alberto |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MissMecha: An All-in-One Python Package for Studying Missing Data Mechanisms
by: Zhou, Youran, et al.
Published: (2025)
by: Zhou, Youran, et al.
Published: (2025)
NUBO: A Transparent Python Package for Bayesian Optimization
by: Diessner, Mike, et al.
Published: (2023)
by: Diessner, Mike, et al.
Published: (2023)
hyppo: A Multivariate Hypothesis Testing Python Package
by: Panda, Sambit, et al.
Published: (2019)
by: Panda, Sambit, et al.
Published: (2019)
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023)
by: Du, Tianyu, et al.
Published: (2023)
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)
by: Hajij, Mustafa, et al.
Published: (2024)
evomap: A Toolbox for Dynamic Mapping in Python
by: Matthe, Maximilian
Published: (2025)
by: Matthe, Maximilian
Published: (2025)
EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python
by: Ziebell, Eric, et al.
Published: (2025)
by: Ziebell, Eric, et al.
Published: (2025)
Goodness-of-Fit and Clustering of Spherical Data: the QuadratiK package in R and Python
by: Saraceno, Giovanni, et al.
Published: (2024)
by: Saraceno, Giovanni, et al.
Published: (2024)
Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization
by: Bokde, Neeraj Dhanraj
Published: (2024)
by: Bokde, Neeraj Dhanraj
Published: (2024)
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions
by: Cheng, Sibo, et al.
Published: (2024)
by: Cheng, Sibo, et al.
Published: (2024)
DRO: A Python Library for Distributionally Robust Optimization in Machine Learning
by: Liu, Jiashuo, et al.
Published: (2025)
by: Liu, Jiashuo, et al.
Published: (2025)
tvopt: A Python Framework for Time-Varying Optimization
by: Bastianello, Nicola
Published: (2020)
by: Bastianello, Nicola
Published: (2020)
PlasmoData.jl -- A Julia Framework for Modeling and Analyzing Complex Data as Graphs
by: Cole, David L, et al.
Published: (2024)
by: Cole, David L, et al.
Published: (2024)
Cooper: A Library for Constrained Optimization in Deep Learning
by: Gallego-Posada, Jose, et al.
Published: (2025)
by: Gallego-Posada, Jose, et al.
Published: (2025)
regAL: Python Package for Active Learning of Regression Problems
by: Surzhikova, Elizaveta, et al.
Published: (2024)
by: Surzhikova, Elizaveta, et al.
Published: (2024)
FDApy: a Python package for functional data
by: Golovkine, Steven
Published: (2021)
by: Golovkine, Steven
Published: (2021)
PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python
by: Goujaud, Baptiste, et al.
Published: (2022)
by: Goujaud, Baptiste, et al.
Published: (2022)
Statistical Inference and Quality Measures of KV Cache Quantisations Inspired by TurboQuant
by: D'Alberto, Paolo
Published: (2026)
by: D'Alberto, Paolo
Published: (2026)
CDOpt: A Python Package for a Class of Riemannian Optimization
by: Xiao, Nachuan, et al.
Published: (2022)
by: Xiao, Nachuan, et al.
Published: (2022)
Efficient Solvers for SLOPE in R, Python, Julia, and C++
by: Larsson, Johan, et al.
Published: (2025)
by: Larsson, Johan, et al.
Published: (2025)
Self-Scaled Broyden Family of Quasi-Newton Methods in JAX
by: Bioli, Ivan, et al.
Published: (2026)
by: Bioli, Ivan, et al.
Published: (2026)
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory
by: Subramonian, Arjun, et al.
Published: (2025)
by: Subramonian, Arjun, et al.
Published: (2025)
Differentiable Parameter Optimization for DAEs with State-Dependent Events
by: Matei, Ion, et al.
Published: (2026)
by: Matei, Ion, et al.
Published: (2026)
A method of using RSVD in residual calculation of LowBit GEMM
by: Gu, Hongyaoxing
Published: (2024)
by: Gu, Hongyaoxing
Published: (2024)
CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
by: Chen, Guangyi, et al.
Published: (2025)
by: Chen, Guangyi, et al.
Published: (2025)
Sparser, Better, Faster, Stronger: Sparsity Detection for Efficient Automatic Differentiation
by: Hill, Adrian, et al.
Published: (2025)
by: Hill, Adrian, et al.
Published: (2025)
Dimensional Peeking for Low-Variance Gradients in Zeroth-Order Discrete Optimization via Simulation
by: Andelfinger, Philipp, et al.
Published: (2026)
by: Andelfinger, Philipp, et al.
Published: (2026)
Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations
by: Antunes, Benjamin, et al.
Published: (2024)
by: Antunes, Benjamin, et al.
Published: (2024)
NNTile: a machine learning framework capable of training extremely large GPT language models on a single node
by: Mikhalev, Aleksandr, et al.
Published: (2025)
by: Mikhalev, Aleksandr, et al.
Published: (2025)
BlackJAX: Composable Bayesian inference in JAX
by: Cabezas, Alberto, et al.
Published: (2024)
by: Cabezas, Alberto, et al.
Published: (2024)
AsaPy: A Python Library for Aerospace Simulation Analysis
by: Dantas, Joao P. A., et al.
Published: (2023)
by: Dantas, Joao P. A., et al.
Published: (2023)
A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent
by: Yang, James, et al.
Published: (2024)
by: Yang, James, et al.
Published: (2024)
Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds
by: Linwu, Jun, et al.
Published: (2025)
by: Linwu, Jun, et al.
Published: (2025)
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
by: Valentin, Romeo, et al.
Published: (2025)
by: Valentin, Romeo, et al.
Published: (2025)
Efficiently Vectorized MCMC on Modern Accelerators
by: Dance, Hugh, et al.
Published: (2025)
by: Dance, Hugh, et al.
Published: (2025)
forester: A Tree-Based AutoML Tool in R
by: Ruczyński, Hubert, et al.
Published: (2024)
by: Ruczyński, Hubert, et al.
Published: (2024)
Adaptation of XAI to Auto-tuning for Numerical Libraries
by: Aoki, Shota, et al.
Published: (2024)
by: Aoki, Shota, et al.
Published: (2024)
chipfiring: A Python Package for Efficient Mathematical Analysis of Chip-Firing Games on Multigraphs
by: Mavani, Dhyey Dharmendrakumar, et al.
Published: (2025)
by: Mavani, Dhyey Dharmendrakumar, et al.
Published: (2025)
Holistic Generalized Linear Models
by: Schwendinger, Benjamin, et al.
Published: (2022)
by: Schwendinger, Benjamin, et al.
Published: (2022)
Scorio.jl: A Julia package for ranking stochastic responses
by: Hariri, Mohsen, et al.
Published: (2026)
by: Hariri, Mohsen, et al.
Published: (2026)
Similar Items
-
MissMecha: An All-in-One Python Package for Studying Missing Data Mechanisms
by: Zhou, Youran, et al.
Published: (2025) -
NUBO: A Transparent Python Package for Bayesian Optimization
by: Diessner, Mike, et al.
Published: (2023) -
hyppo: A Multivariate Hypothesis Testing Python Package
by: Panda, Sambit, et al.
Published: (2019) -
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023) -
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)