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
  ☆696Updated last week
• cjlin1 / liblinear
  LIBLINEAR -- A Library for Large Linear Classification
  ☆1,028Updated 2 months ago
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,555Updated 5 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,412Updated 7 months ago
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,565Updated this week
• kingfengji / gcForest
  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
  ☆1,309Updated 4 years ago
• asappresearch / sru
  Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
  ☆2,099Updated 3 years ago
• dmlc / treelite
  Universal model exchange and serialization format for decision tree forests
  ☆759Updated 2 weeks ago
• lebedov / scikit-cuda
  Python interface to GPU-powered libraries
  ☆991Updated last year
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• facebookresearch / TensorComprehensions
  A domain specific language to express machine learning workloads.
  ☆1,759Updated last year
• thu-ml / zhusuan
  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
  ☆2,219Updated 2 years ago
• dmlc / nnvm
  ☆1,658Updated 6 years ago
• microsoft / MMdnn
  MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…
  ☆5,811Updated 10 months ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆705Updated 4 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆503Updated 7 months ago
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆820Updated last month
• ilkarman / DeepLearningFrameworks
  Demo of running NNs across different frameworks
  ☆1,652Updated 2 years ago
• microsoft / tensorwatch
  Debugging, monitoring and visualization for Python Machine Learning and Data Science
  ☆3,438Updated last year
• lferry007 / LargeVis
  ☆713Updated last year
• cjlin1 / libsvm
  LIBSVM -- A Library for Support Vector Machines
  ☆4,614Updated 6 months ago
• tensorflow / fold
  Deep learning with dynamic computation graphs in TensorFlow
  ☆1,824Updated 3 years ago
• cybertronai / gradient-checkpointing
  Make huge neural nets fit in memory
  ☆2,773Updated 4 years ago
• facebookresearch / StarSpace
  Learning embeddings for classification, retrieval and ranking.
  ☆3,950Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆853Updated last year
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,946Updated 3 weeks ago
• tensorflow / model-analysis
  Model analysis tools for TensorFlow
  ☆1,263Updated last month
• ContextLab / hypertools
  A Python toolbox for gaining geometric insights into high-dimensional data
  ☆1,838Updated last year
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,911Updated last year
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆616Updated 2 years ago