Alternatives and similar repositories for svm-classification:

Users that are interested in svm-classification are comparing it to the libraries listed below

• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• tegg89 / Deep-tutorials
  A collection of tutorials from Deep Learning conferences.
  ☆31Updated 8 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆27Updated 7 years ago
• bigsnarfdude / SELU_Keras_Tutorial
  Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU
  ☆48Updated 3 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• svishnu88 / pytorch
  All My Pytorch projects reside here
  ☆33Updated 7 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 8 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 10 years ago
• krishnakalyan3 / MixtureOfExperts
  Master Thesis. Code written in python. (Keras with Tensorflow backend)
  ☆21Updated 4 years ago
• dongwookim-ml / topic-model-lecture-note
  lecture notes for probabilistic topic models using ipython notebook
  ☆22Updated 10 years ago
• rvlasveld / oc_svm
  One-Class SVM implementations for temporal segmentation of human activities
  ☆54Updated 11 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• mathias-madsen / reinforce_tutorial
  A small collection of code snippets and notes explaining the foundations of the REINFORCE algorithm.
  ☆35Updated 5 years ago
• geduo15 / Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow
  implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
  ☆56Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆26Updated 8 years ago
• rodrigosetti / dbn-cuda
  GPU accelerated Deep Belief Network
  ☆46Updated 9 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• piotrmirowski / Tutorial_AutoEncoders
  Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…
  ☆36Updated 10 years ago
• kevin-keraudren / randomforest-python
  ☆59Updated 8 years ago
• fluency03 / sequence-rnn-py
  Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras
  ☆28Updated 8 years ago
• GokuMohandas / attentional-interfaces
  🔍 Attentional interfaces in TensorFlow.
  ☆61Updated 6 years ago
• stefansavev / random-projections-at-berlinbuzzwords
  Demo of random projections at BerlinBuzzwords 2015
  ☆22Updated 4 years ago
• NathanEpstein / pydata-reinforce
  code for pydata madrid presentation
  ☆53Updated 8 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 6 years ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 11 years ago
• benanne / kaggle-whales
  code for the Whale Detection Challenge competition on Kaggle
  ☆39Updated 11 years ago
• dvatterott / BMM_attentional_CNN
  A CNN with an attentional module that I built while attending the brains minds and machines summer course
  ☆69Updated 5 years ago
• siddharth-agrawal / Convolutional-Neural-Network
  ☆107Updated 6 years ago