Alternatives and similar repositories for thundersvm

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

• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆709Updated 8 months ago
• src-d / kmcuda
  Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
  ☆836Updated 3 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,428Updated last year
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,560Updated 6 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆596Updated 7 years ago
• kingfengji / gcForest
  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
  ☆1,311Updated 4 years ago
• FALCONN-LIB / FALCONN
  FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
  ☆1,157Updated last year
• annoviko / pyclustering
  pyclustering is a Python, C++ data mining library.
  ☆1,200Updated last year
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,803Updated last year
• DmitryUlyanov / Multicore-TSNE
  Parallel t-SNE implementation with Python and Torch wrappers.
  ☆1,914Updated last year
• CannyLab / tsne-cuda
  GPU Accelerated t-SNE for CUDA with Python bindings
  ☆1,909Updated last year
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,556Updated last year
• lferry007 / LargeVis
  ☆712Updated 2 years ago
• nok / sklearn-porter
  Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
  ☆1,305Updated last year
• dmlc / treelite
  Universal model exchange and serialization format for decision tree forests
  ☆794Updated this week
• ContextLab / hypertools
  A Python toolbox for gaining geometric insights into high-dimensional data
  ☆1,874Updated 4 months ago
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆848Updated 8 months ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• lebedov / scikit-cuda
  Python interface to GPU-powered libraries
  ☆988Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,648Updated 7 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆5,020Updated this week
• lvdmaaten / bhtsne
  Barnes-Hut t-SNE
  ☆916Updated 4 years ago
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,911Updated 2 years ago
• jaberg / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆515Updated 11 years ago
• h2oai / h2o4gpu
  H2Oai GPU Edition
  ☆471Updated last year
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,587Updated 3 years ago
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,175Updated 2 years ago
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,639Updated last year
• facebookresearch / TensorComprehensions
  A domain specific language to express machine learning workloads.
  ☆1,760Updated 2 years ago