Alternatives and similar repositories for PLinearRegression:

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

• nelson-liu / pytorch-paper-classifier
  A simple model for classifying papers by academic venue (AI/ML/ACL), given a title and abstract. Bare-metal PyTorch port of https://gith…
  ☆12Updated 6 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆33Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆26Updated 8 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆9Updated 2 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 7 years ago
• wenty2015 / Predicting-Clinical-Events-via-Recurrent-Neural-Networks
  ☆12Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 5 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• janvdvegt / KernelMixtureNetwork
  Kernel Mixture Network implementation with some minor tweaks
  ☆45Updated 7 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• mikigraf / Keras-Transfer-Learning-Tutorial
  Workshop on using transfer learning for image classification tasks. Presented at DO!Hack 2017
  ☆16Updated 7 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 6 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆23Updated 7 years ago
• talolard / CMFT_PyCon2017
  Materials for Convolutional Methods for Text workshop at PyCon2017
  ☆11Updated 7 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• radekosmulski / fastai-rails
  ☆25Updated 2 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• RubensZimbres / GAN-Project-2018
  GAN in Tensorflow to be run via Linux command line
  ☆22Updated 6 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 3 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆50Updated 6 years ago