Alternatives and similar repositories for a-bit-of-deep-learning-and-keras:

Users that are interested in a-bit-of-deep-learning-and-keras are comparing it to the libraries listed below

• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 9 months ago
• jlricon / advanced-deep-learning
  Files for the Advanced Machine Learning Coursera course
  ☆19Updated 6 years ago
• knathanieltucker / bit-of-data-science-and-scikit-learn
  Youtube tutorial associated content
  ☆124Updated 5 years ago
• SudalaiRajkumar / DHS2019_HackSession_NLP
  Codes used for the hack session in DHS 2019
  ☆53Updated 5 years ago
• alexanderrobertson / cambridgespark-webapp
  ☆34Updated 4 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 4 years ago
• PacktPublishing / Ensemble-Machine-Learning-Cookbook
  Ensemble Machine Learning Cookbook, published by Packt
  ☆60Updated 2 years ago
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 5 years ago
• ardendertat / Applied-Deep-Learning-with-Keras
  Deep Learning examples with Keras.
  ☆302Updated 2 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆38Updated 5 years ago
• rupskygill / ML-mastery
  Code from Jason Brownlee's course on mastering machine learning
  ☆124Updated 8 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
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 2 years ago
• dalmia / Coursera-Specializations
  Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing an…
  ☆80Updated 6 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
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆82Updated 4 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
• priyadarshi0007 / TimeSeries-AIEngineering
  This is a repo for all the time series related notebook for AIENgineering
  ☆2Updated 4 years ago
• SkalskiP / Machine_Learning_A-Z
  Repository contains tasks and exercises made during Udemy course Machine Learning A-Z that I completed in 2017.
  ☆62Updated 7 years ago
• PacktPublishing / Neural-Networks-with-Keras-Cookbook
  Neural Networks with Keras Cookbook, published by Packt
  ☆51Updated 2 years ago
• lazyprogrammer / data-science-blogs
  A curated list of data science blogs
  ☆100Updated 6 years ago
• pawangeek / Competitions-ML
  My competitions approach
  ☆18Updated 3 years 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 6 years ago
• abhishekkrthakur / e01
  ☆38Updated 5 years ago
• suvoooo / Machine_Learning
  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
  ☆122Updated 6 months ago
• aprilypchen / depy2016
  ☆110Updated 8 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆136Updated 5 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆50Updated 7 years ago