Alternatives and similar repositories for time-series-annotator

Users that are interested in time-series-annotator are comparing it to the libraries listed below

• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago
• hcmlab / nova
  NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already duri…
  ☆181Updated last month
• iamvishnuks / AudioNet
  Audio Classification using Image Classification
  ☆48Updated 5 years ago
• chestrays / jupyanno
  Make data labeling easy with Jupyter notebooks and Google Sheets!
  ☆27Updated 5 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆86Updated 9 years ago
• ArtificialIntelligenceToolkit / conx
  The On-Ramp to Deep Learning
  ☆97Updated last year
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• NLeSC / mcfly-tutorial
  tutorial for mcfly repository
  ☆79Updated 2 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• minimaxir / ml-data-generator
  Python script to generate fake datasets optimized for testing machine learning/deep learning workflows
  ☆50Updated 6 years ago
• philipperemy / advanced-deep-learning-keras
  File repository for the course [Advanced Deep Learning with Keras]. Packt Publishing.
  ☆27Updated 7 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• HazyResearch / reef
  Automatically labeling training data
  ☆107Updated 6 years ago
• abietti / online_hmm
  Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering
  ☆71Updated 10 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• ntnu-ai-lab / eSNN
  eSNN - Learning similarity measure from data
  ☆12Updated 5 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• mljar / automl_comparison
  Comparison of automatic machine learning libraries
  ☆28Updated 7 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• sjyk / datacleaning-benchmark
  ☆40Updated 8 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 4 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• Salma-El-Alaoui / Blind-Source-Separation
  Analysis and Improvement of Independent Subspace Analysis methods: MICA, FastISA
  ☆17Updated 8 years ago
• facultyai / boltzmannclean
  Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines
  ☆23Updated 5 years ago
• harvitronix / super-simple-distributed-keras
  A super simple way to do distributed hyperparameter tuning with Keras and Mongo
  ☆30Updated 8 years ago
• keunwoochoi / keras_STFT_layer
  Do STFT in Keras
  ☆63Updated 8 years ago
• radekosmulski / fastai-rails
  ☆25Updated 2 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago