Alternatives and similar repositories for machine-learning:

Users that are interested in machine-learning are comparing it to the libraries listed below

• oegedijk / keras-embeddings
  Example of how to use entity embeddings (similar to word embeddings such as word2vec, but then generalized for any categorical feature) i…
  ☆10Updated 5 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆55Updated 5 years ago
• poornagurram / TimeSeriesAnalysis_ODSC_2019
  Resources for Data Science Kick Starter Workshop at ODSC India 2019
  ☆20Updated 4 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 5 years ago
• parulnith / Analysing-Machine-Learning-Models-with-Yellowbrick
  Yellowbrick is an open source, Python project that extends the scikit-learn API with visual analysis and diagnostic tools
  ☆13Updated 5 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆68Updated 4 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 8 months ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• srivatsan88 / Deep-Learning-Computer-Vision
  This repo is code to my YouTube Playlist - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5adcPkzsSY82hFUyOI62bz
  ☆18Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 3 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 8 months ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 5 years ago
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 5 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 2 years ago
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆32Updated 5 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 3 years ago
• analyticsvidhya / LordOftheMachines
  Codes related to Lord of the Machines hackathon
  ☆10Updated 6 years ago
• davidsbatista / machine-learning-notebooks
  Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
  ☆45Updated 6 years ago
• tsterbak / pydataberlin-2019
  This Repository contains the material for my tutorial "Managing the end-to-end machine learning lifecycle with MLFlow" at pyData/pyCon Be…
  ☆39Updated last year
• drivendataorg / power-laws-forecasting
  Winners of the Power Laws forecasting competition
  ☆63Updated last year
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆25Updated 3 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆27Updated 6 years ago
• lumiata / tech_blog
  Follow the Lumiata Tech Blog on Medium!
  ☆21Updated last year
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆54Updated 5 years ago
• SudalaiRajkumar / DHS2019_HackSession_NLP
  Codes used for the hack session in DHS 2019
  ☆53Updated 5 years ago
• dipanjanS / nlp_workshop_iisc19
  Hands-on examples showcasing popular NLP applications
  ☆19Updated 5 years ago
• srivatsan88 / google_cloud_notebooks
  ☆13Updated 4 years ago
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆38Updated 5 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆61Updated 2 years ago
• dipanjanS / transformers_nlp_essentials
  Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…
  ☆27Updated 4 years ago