Alternatives and similar repositories for Medium-Stats-Analysis

Users that are interested in Medium-Stats-Analysis are comparing it to the libraries listed below

• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago
• MaartenGr / streamlit_guide
  A guide on creating and deploying your Streamlit application to Heroku
  ☆50Updated last year
• bonn0062 / flask_model_deployment
  This is the official repo for the Heartbeat article, "The brilliant beginner's guide to model deployment: a clear and simple roadmap for …
  ☆20Updated 6 years ago
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆100Updated 3 years ago
• lavanyashukla / neural_networks
  ☆50Updated 5 years ago
• jph00 / hello_nbdev
  A tutorial example for nbdev
  ☆15Updated 3 years ago
• JovianHQ / fastai_slack
  Get Slack notifications while training FastAI models
  ☆13Updated 6 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• aliabd / fastgradio
  Build fast gradio demos of fastai learners
  ☆35Updated 4 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• LDSSA / heroku-model-deploy
  Deploy a scikit model using heroku and Flask
  ☆15Updated 2 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆65Updated 4 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• rvaughan / DataInterviewQuestions
  ☆32Updated 6 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• glopasso / text-summarization
  Text summarization algorithm for the Capstone Project at Springboard code bootcamp
  ☆54Updated 3 years ago
• fastai / tinykernel
  A minimal Python kernel so you can run Python in your Python
  ☆39Updated 3 years ago
• brohrer / taming_matplotlib
  Tutorials for getting the most out of Matplotlib
  ☆23Updated 5 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆65Updated 4 years ago
• dair-ai / research_emotion_analysis
  Multilingual emotion analysis research
  ☆21Updated last year
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• dexplo / jupyter_to_medium
  Python package for publishing Jupyter Notebooks as Medium blogposts
  ☆149Updated 2 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated 2 months ago
• zotroneneis / tensorflow_deep_learning_models
  TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
  ☆37Updated 7 years ago
• simonw / cougar-or-not
  An API for identifying cougars v.s. bobcats v.s. other USA cat species
  ☆126Updated 7 years ago