seqeval alternatives and related packages

Based on the "Machine Learning" category

• Keras

  10.0 9.4 L2 seqeval VS Keras

  Minimalist deep learning library for Python, running on top of Theano and Tensorflow.

• tensorflow

  10.0 10.0 L1 seqeval VS tensorflow

  Computation using data flow graphs for scalable machine learning

• scikit-learn

  9.9 9.7 L3 seqeval VS scikit-learn

  A Python module for machine learning built on top of SciPy.

• xgboost

  9.8 9.3 L1 seqeval VS xgboost

  A scalable, portable, and distributed gradient boosting library.

• CNTK

  9.7 8.9 L1 seqeval VS CNTK

  Microsoft Cognitive Toolkit

• gensim

  9.6 8.7 L3 seqeval VS gensim

  Topic Modelling for Humans.

• PaddlePaddle

  9.5 10.0 L1 seqeval VS PaddlePaddle

  PArallel Distributed Deep LEarning

• TFLearn

  9.5 5.7 L3 seqeval VS TFLearn

  Deep learning library featuring a higher-level API for TensorFlow.

• Prophet

  9.4 8.1 seqeval VS Prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

• NuPIC

  9.2 4.3 L3 seqeval VS NuPIC

  Numenta Platform for Intelligent Computing.

• srez

  8.6 0.0 L5 seqeval VS srez

  Image super-resolution through deep learning

• Pylearn2

  8.4 0.0 L2 seqeval VS Pylearn2

  A Machine Learning library based on Theano.

• PyBrain

  8.2 0.0 L4 seqeval VS PyBrain

  Another Python Machine Learning Library.

• Surprise

  8.0 4.3 L4 seqeval VS Surprise

  A Python recommender system library aimed towards researchers, teachers and students.

• skflow

  8.0 0.0 L4 seqeval VS skflow

  A simplified interface for TensorFlow (mimicking scikit-learn).

• MLflow

  7.6 9.4 seqeval VS MLflow

  Open source platform for the machine learning lifecycle

• LightFM

  7.5 5.3 L4 seqeval VS LightFM

  A Python implementation of a number of popular recommendation algorithms.

• Clairvoyant

  7.2 2.5 L3 seqeval VS Clairvoyant

  Software designed to identify and monitor social/historical cues for short term stock movement

• python-recsys

  6.6 0.7 L4 seqeval VS python-recsys

  A Python library for implementing a Recommender System.

• pydeep

  6.4 0.0 L3 seqeval VS pydeep

  -Deep learning in python

• Crab

  6.1 0.0 L2 seqeval VS Crab

  A flexible, fast recommender engine.

• hebel

  5.6 0.0 L2 seqeval VS hebel

  GPU-Accelerated Deep Learning Library in Python.

• awesome-embedding-models

  5.5 4.8 seqeval VS awesome-embedding-models

  A curated list of awesome embedding models tutorials, projects and communities.

• rwa

  4.1 1.1 L5 seqeval VS rwa

  Machine Learning on Sequential Data Using a Recurrent Weighted Average

• SciKit-Learn Laboratory

  3.8 9.0 seqeval VS SciKit-Learn Laboratory

  SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

• Feature Forge

  3.5 0.0 L4 seqeval VS Feature Forge

  A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

• brew

  3.1 0.9 L4 seqeval VS brew

  Multiple Classifier Systems and Ensemble Learning Library in Python.

• MLP Classifier

  2.6 0.0 L4 seqeval VS MLP Classifier

  A handwritten multilayer perceptron classifier using numpy.

• vowpal_porpoise

  2.4 0.0 L3 seqeval VS vowpal_porpoise

  A lightweight Python wrapper for Vowpal Wabbit.

• tfgraphviz

  1.2 2.3 L5 seqeval VS tfgraphviz

  A simple graphviz wrapper to visualize a graph like TensorFlow & TensorBoard

• nptyping

  0.6 5.3 seqeval VS nptyping

  Type hints for numpy

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Popular Comparisons

• scikit-learn
  vs
  Keras
• tensorflow
  vs
  scikit-learn
• Keras
  vs
  TFLearn
• tensorflow
  vs
  PyBrain
• Keras
  vs
  tensorflow