Alternatives and similar repositories for DeepLearningExamples

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

• balavenkatesh3322 / Deep-learning-Notebook
  A collection of deep learning notebooks for learning and practicing.
  ☆18Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• ashishpatel26 / datascienv
  datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…
  ☆58Updated 4 years ago
• EricSchles / datascience_book
  ☆134Updated last year
• hotshot07 / algovis
  A python library for visualising and analysing algorithms
  ☆105Updated last year
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• itsgorain / 100DaysOfNLP
  I will be putting notebooks created for #100daysofnlp here
  ☆20Updated 5 years ago
• rvaughan / DataInterviewQuestions
  ☆32Updated 6 years ago
• rishg2 / newsemble
  API for fetching data from news websites.
  ☆44Updated 3 years ago
• Palashio / nylon
  An intelligent, flexible grammar of machine learning.
  ☆82Updated 4 years ago
• zszazi / awesome-collection-of-google-colab-notebooks
  COLLABORATE in building a collection of google COLAB notebooks
  ☆73Updated 2 years ago
• dair-ai / awesome-ML-projects-guide
  A guide to building awesome machine learning projects.
  ☆248Updated 5 years ago
• sayakpaul / Global-Wheat-Detection
  Showcases the use of deep learning to detect wheat heads from crops. The project is based on: https://www.kaggle.com/c/global-wheat-detec…
  ☆18Updated 5 years ago
• notebookexplore / NotebookExplore
  A collection of #MachineLearning #Python Notebooks 🤖 🐍📚 that can be launched to the ☁️ for use and experimentation. No setup needed, …
  ☆24Updated 5 years ago
• abhishekkrthakur / csv_test
  ☆26Updated 4 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 4 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• geekjr / quickai
  QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
  ☆161Updated 6 months ago
• mrtkp9993 / Statistical-Modeling-Examples
  Basic statistical modelling examples.
  ☆42Updated last year
• ML-AI-Community / ml-ai
  ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
  ☆50Updated 3 years ago
• jim-schwoebel / allie
  🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python …
  ☆148Updated 8 months ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• JosephAssaker / Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning
  This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model.…
  ☆103Updated 5 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆146Updated 5 years ago
• turbo / medium125k
  Dataset of 125,000 Medium Blog Post Titles and Subtitles (with Categories)
  ☆22Updated 6 years ago
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago
• NMZivkovic / ultimate-tensorflow2.0
  Contains code that accompanies article - https://rubikscode.net/2019/04/22/ultimate-guide-to-tensorflow-2-0-in-python/
  ☆53Updated 6 years ago
• JohnGiorgi / mathematics-for-machine-learning
  A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…
  ☆63Updated 5 years ago
• Emmanuel1118 / Learn-ML-Basics
  A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the …
  ☆90Updated 5 years ago
• will-thompson-k / deeplearning-nlp-models
  A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs.…
  ☆75Updated 5 years ago