Alternatives and similar repositories for LassoVariants

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

• rahulk90 / vae_sparse
  VAEs on Sparse Data
  ☆12Updated 7 years ago
• MansteinLiliang / Transfer-Learning
  迁移学习
  ☆18Updated 6 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 4 years ago
• tlatkowski / tf-feature-selection
  Implementation of various feature selection methods using TensorFlow library.
  ☆9Updated 2 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• Chunpai / LASSO
  solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent
  ☆21Updated 10 years ago
• Emaasit / long-range-extrapolation
  Capturing Structure Implicitly from Noisy Time-Series having Limited Data
  ☆1Updated 7 years ago
• zhuanxuhit / math-foundation
  数学基础
  ☆13Updated 7 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• tonyabracadabra / DeepFeatureSelection--Tensorflow
  ☆12Updated 8 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 7 years ago
• claesenm / resvm
  Robust Ensemble of SVMs
  ☆21Updated 11 years ago
• chvlyl / kernel_kmeans_and_adaptive_clustering
  Kernel k-means and adaptive non-parametric clustering
  ☆8Updated 5 years ago
• greentfrapp / doping
  Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
  ☆15Updated 6 years ago
• bellal89 / RankingFeatureSelection
  Feature selection algorithms for learning to rank
  ☆9Updated 11 years ago
• myamada0321 / pyCFM
  Convex Factorization Machine (Squared loss)
  ☆7Updated 7 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆17Updated 6 years ago
• Jianbo-Lab / deep-learning-project
  ☆8Updated 8 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• IBM / RandomWarpingSeries
  RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…
  ☆21Updated 6 years ago
• wangg12 / vi_vae_gmm
  Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan
  ☆16Updated 8 years ago
• EESI / PyFeast
  A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR
  ☆19Updated 10 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 6 years ago
• chaitanya-m / kdd2018
  Files submitted to kdd2018 for EFDT paper
  ☆22Updated 6 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• mehmetgonen / lmkkmeans
  Localized Multiple Kernel k-Means Clustering
  ☆27Updated 6 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 5 years ago
• lbkchen / deep-learning
  Stacked Denoising Autoencoders (SDA) implemented in TensorFlow to analyze clinical health records and construct deep learning models to p…
  ☆36Updated 8 years ago