Alternatives and similar repositories for ScalableML

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

• maalvarezl / MLAI
  Machine Learning And Adaptive Intelligence Module
  ☆126Updated 3 years ago
• The-AI-Summer / RNN_tutorial
  Recurrent neural networks: building a custom LSTM/GRU cell in PyTorch
  ☆28Updated 4 years ago
• apsarath / NRU
  ☆22Updated 6 years ago
• mitmedialab / PersonalizedMultitaskLearning
  Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchic…
  ☆132Updated 3 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆41Updated 3 years ago
• criteo-research / pytorch-ada
  Another Domain Adaptation library, aimed at researchers.
  ☆100Updated 3 months ago
• lorenlugosch / pytorch_HMM
  HMMs in PyTorch
  ☆139Updated 4 years ago
• flecue / xai-aaai2021
  ☆24Updated 4 years ago
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆129Updated 2 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆92Updated 6 years ago
• tuantle / regression-losses-pytorch
  Experimenting with different regression losses. Implemented in Pytorch.
  ☆147Updated 6 years ago
• KKhvatova / Weakly_Supervised_Learning
  Weakly Supervised Learning: Introduction and Best Practices
  ☆12Updated 6 years ago
• VMBoehm / PAE
  Probabilistic Auto-Encoder
  ☆43Updated 2 years ago
• ruqizhang / csgmcmc
  Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
  ☆92Updated 4 years ago
• pat-coady / contrast-pred-code
  Minimal implementation of Contrastive Predictive Coding for audio.
  ☆17Updated 5 years ago
• yoyolicoris / pytorch-NMF
  A pytorch package for non-negative matrix factorization.
  ☆240Updated 11 months ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆76Updated 3 years ago
• mdeff / ntds_2019
  Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
  ☆69Updated 5 years ago
• liuyilin950623 / SHAP_on_Autoencoder
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆33Updated 5 years ago
• BorgwardtLab / WTK
  A Wasserstein Subsequence Kernel for Time Series.
  ☆21Updated last year
• dtak / tree-regularization-public
  Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"
  ☆78Updated 7 years ago
• dirichletcal / experiments_dnn
  ☆16Updated 3 years ago
• OverLordGoldDragon / see-rnn
  RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
  ☆181Updated last year
• ValentinFigue / Sklearn_PyTorch
  Transposition in PyTorch to Sklearn models such as Random Forest or SVM
  ☆57Updated 5 years ago
• deepakacharyab / gnn_feature_selection_extraction
  ☆13Updated 5 years ago
• davidrosenberg / ttml2021
  Course materials for DSGA 3001: Tools and Techniques for Machine Learning (Spring 2021)
  ☆36Updated 3 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆101Updated 6 years ago
• TideDancer / neurips19_DTWNet
  DTWNet: a Dynamic Time Warping Network
  ☆67Updated 5 years ago
• ocontreras309 / ML_Notebooks
  A repository for public Machine Learning notebooks I have created
  ☆78Updated 3 years ago
• virufy / virufy-data
  ☆7Updated 4 years ago