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auto-awesome-list

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557fe35e38204fc182f6670598a6f92df635c84f

update readme

yyash1994 committed 5 years ago
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upate plots

yyash1994 committed 5 years ago
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9f7d6a14ca410e6b996cf477340ddb296fdd950e

update list

yyash1994 committed 5 years ago
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8caaf7e393d5229101678ea05e64ba80f45cb208

update list

committed 5 years ago
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91d7c37ee7957f74d8d59ed8c3b9253cf1ed7d75

fix percentage symbol

committed 5 years ago
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edd6bba962ff208041af42400ccf2574aadb5aa7

add analysis plots and code

committed 5 years ago

README

The README file for this repository.

💫 Auto-Awesome-List

Auto-awesome-list is auto generated list of machine learning and data science tool from research organizations. Sometimes its easy and reasonable to use pre-implemented tool instead of re-enventing the wheel. This module uses Github API V3 with keywords defined in topics.list (common github topics used in ML and DS tools) and tasks.list (list of ML and AI tasks) filter the tools. These lists will get updated every month. New organization can simply be added to watch.list with organization name,gituhb orgainzation url format. Suggestions and pull request are always welcomed. 😊

Inspired by Papers With Code and Awesome.

Note: Lists contains some stats for every tool repository. These stats may be wrong because information is not getting fecthed in real-time.

List of Organizations

Microsoft, IBM, NVIDIA, DeepMind, H2O.ai, Google, Explosion.ai, Google-Research, Spotify, OpenAI, Salesforce, Intel, Uber, Hugging-Face, Alibaba, Lyft, Adobe, Pytorch, Allenai, Oracle, Eclipse, Netflix, eBay, Baidu, Airbnb, Intuit, Stanford-NLP, Amazon, Twitter, Keras, Fastai, Facebook, Tensorflow, VMware, PayPal, Baidu-Research, RARE-Technologies, SAP, Fizyr, Tesla, Snap

Analysis of Machine Learning / Data Science Tools

distribution_of_programming_languages

portion_of_data_science___machine_learning_tools_over_all_repos

distribution_of_stars

repositories_created_over_time

repositories_updated_over_time

common_data_science_tasks

Todos

  • [x] Add more non profit organizations.
  • [x] Add analysis based on repositories
  • [ ] Add task based classification.