Alternatives and similar repositories for PyData_London_2018_Computer_Vision

Users that are interested in PyData_London_2018_Computer_Vision are comparing it to the libraries listed below

• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 7 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆76Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 6 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆83Updated 8 years ago
• rdempsey / pyspark-for-data-processing
  Code for my presentation: Using PySpark to Process Boat Loads of Data
  ☆20Updated 7 years ago
• ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-Keras
  What makes convnets so powerful at image classification?
  ☆46Updated 7 years ago
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 5 years ago
• anindya-saha / Machine-Learning-with-Python
  Machine Learning Implementations in Python
  ☆64Updated 4 years ago
• analyticsvidhya / knocktober-2016
  Codes related to Knocktober 2016
  ☆23Updated 8 years ago
• binga / DataHackSummit_2017
  Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
  ☆32Updated 7 years ago
• mmmayo13 / scikit-learn-classifiers
  An introduction to implementing a number of scikit-learn classifiers, along with some data exploration
  ☆102Updated 9 years ago
• ritchieng / pandas-guides
  Detailed notes and codes on learning pandas quickly for machine learning.
  ☆27Updated 8 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆31Updated 9 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆30Updated 5 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆67Updated 3 years ago
• rajat5ranjan / AV-Innoplexus-Online-Hiring-Hackathon-Sentiment-Analysis
  Innoplexus Online Hiring Hackathon: Sentiment Analysis organised by Analytics Vidya
  ☆11Updated 6 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated 2 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 7 years ago
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• gilbertfrancois / pydata2018-tagging
  ☆25Updated 7 years ago