Alternatives and similar repositories for SmoothedGradientDescentAscent

Users that are interested in SmoothedGradientDescentAscent are comparing it to the libraries listed below

• ruleminer / InterpreTS
  Feature extraction from time series to support the creation of interpretable and explainable predictive models
  ☆13Updated 2 months ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• ruleminer / decision-rules
  Package implementing decision rules. Includes tools for calculations of various measures and indicators, as well as algorithms for filter…
  ☆16Updated this week
• theorod93 / multiView_manifoldLearning
  Contains the code of Multi-view Data Visualisation via Manifold Learning paper
  ☆7Updated last year
• srome / sklearn-hogwild
  An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.
  ☆20Updated 5 years ago
• sbarratt / lsat
  "Least Squares Auto-Tuning" paper repository
  ☆9Updated 6 years ago
• LCSL / NystromCoRe
  Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…
  ☆12Updated 5 years ago
• operalib / operalib
  Learning with operator-valued kernels
  ☆22Updated 2 years ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• BorgwardtLab / WTK
  A Wasserstein Subsequence Kernel for Time Series.
  ☆21Updated last year
• cvxgrp / strat_models
  A distributed method for fitting Laplacian regularized stratified models.
  ☆25Updated 4 years ago
• sylvaincom / comparison-distributions
  [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…
  ☆11Updated 2 years ago
• phschiele / armacell
  ARMA cell: a modular and effective approach for neural autoregressive modeling
  ☆16Updated last year
• afermanian / embedding_with_signatures
  ☆13Updated 2 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• sky-97 / scraping-wall-street-journal
  with help of python i scraped the stock data for the following companies like :Apple Nike Netflix Amazon Microsoft
  ☆9Updated 6 years ago
• sonph / bayesnetinference
  Python implementation of variable enumeration and variable elimination algorithms for exact inference in probabilistic Bayesian networks.
  ☆11Updated 11 years ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• WY-Chen / EqVarDAG
  Causal Discovery with Equal Variance Assumption
  ☆9Updated 3 years ago
• neonnnnn / pyrfm
  A library for random feature maps in Python.
  ☆16Updated 4 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated 2 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 9 years ago
• clinicalml / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆11Updated 9 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• uhlerlab / conditional_independence
  Parametric and non-parametric conditional independence testing.
  ☆10Updated 4 years ago
• HazyResearch / lp_rffs
  Low precision random Fourier features for kernel approximation
  ☆19Updated 5 years ago
• LIBOL / KOL
  Library for Kernel Online Learning
  ☆11Updated 7 years ago
• BorgwardtLab / MID
  MID (Mutual Information Dimension) for measuring statistical dependence between two random variables
  ☆12Updated 12 years ago
• biolab / orange3-conformal
  Conformal Prediction library for Orange3
  ☆10Updated 6 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago