Giant List of AI/Machine Learning Tools & Datasets
Tags: tutorials
Published: 2019-07-22 10:31:01

---
title: Giant List of AI/Machine Learning Tools & Datasets
published: true
tags: Tutorials
canonical_url: https://vuild.com/ai-tools
---

AI/machine learning technology is growing at a rapid pace. There is a great deal of active research & big tech is leading the way. Luckily there are also a lot of resources out there for the technologist to utilize. So many we had to cherry pick what look like the most legit & useful tools.

[Download as PDF](https://vuild.com/ai-tools?pdf=1)
1. Accord Framework   
[http://accord-framework.net](http://accord-framework.net)
2. Aligned Face Dataset from Pinterest (CCO)   
[https://www.kaggle.com/frules11/pins-face-recognition](https://www.kaggle.com/frules11/pins-face-recognition)
3. Amazon Reviews Dataset   
[https://snap.stanford.edu/data/web-Amazon.html](https://snap.stanford.edu/data/web-Amazon.html)
4. Apache SystemML   
[https://systemml.apache.org](https://systemml.apache.org)
5. AWS Open Data   
[https://registry.opendata.aws](https://registry.opendata.aws)
6. Baidu Apolloscapes   
[http://apolloscape.auto](http://apolloscape.auto)
7. Beijing Laboratory of Intelligent Information Technology Vehicle Dataset   
[http://iitlab.bit.edu.cn/mcislab/vehicledb](http://iitlab.bit.edu.cn/mcislab/vehicledb)
8. Berkley Caffe   
[http://caffe.berkeleyvision.org](http://caffe.berkeleyvision.org)
9. Berkley DeepDrive   
[https://bdd-data.berkeley.edu](https://bdd-data.berkeley.edu)
10. Caltech Dataset   
[http://www.vision.caltech.edu/html-files/archive.html](http://www.vision.caltech.edu/html-files/archive.html)
11. Cats in Movies Dataset   
[https://public.opendatasoft.com/explore/dataset/cats-in-movies/information](https://public.opendatasoft.com/explore/dataset/cats-in-movies/information)
12. Chinese Character Dataset   
[http://www.iapr-tc11.org/mediawiki/index.php?title=Harbin\_Institute\_of\_Technology\_Opening\_Recognition\_Corpus\_for\_Chinese\_Characters\_(HIT-OR3C)](http://www.iapr-tc11.org/mediawiki/index.php?title=Harbin_Institute_of_Technology_Opening_Recognition_Corpus_for_Chinese_Characters_(HIT-OR3C))
13. Chinese Text in the Wild Dataset (CC4.0)   
[https://ctwdataset.github.io](https://ctwdataset.github.io)
14. CelebA Dataset (research only)   
[http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html](http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html)
15. Cityscapes Dataset   
[https://www.cityscapes-dataset.com](https://www.cityscapes-dataset.com) | [License](https://www.cityscapes-dataset.com/license/)
16. Clash of Clans User Comments Dataset (GPL 2)   
[https://www.kaggle.com/moradnejad/clash-of-clans-50000-user-comments](https://www.kaggle.com/moradnejad/clash-of-clans-50000-user-comments)
17. Core ML   
[https://developer.apple.com/machine-learning](https://developer.apple.com/machine-learning)
18. Cornell Movie Dialogs Corpus   
[http://www.cs.cornell.edu/~cristian/Cornell\_Movie-Dialogs\_Corpus.html](http://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html)
19. Deep Learning for Java   
[https://deeplearning4j.org](https://deeplearning4j.org)
20. Enron Email Dataset   
[https://www.cs.cmu.edu/~./enron](https://www.cs.cmu.edu/~./enron)
21. Facebook AI Tools   
[https://ai.facebook.com/tools](https://ai.facebook.com/tools)
22. GitHub Deep Learning   
[https://github.com/topics/deep-learning](https://github.com/topics/deep-learning)
23. GitHub Machine Learning   
[https://github.com/topics/machine-learning](https://github.com/topics/machine-learning)
24. GitHub Natural Language Processing   
[https://github.com/topics/nlp](https://github.com/topics/nlp)
25. GitHub Tensorflow   
[https://github.com/topics/tensorflow](https://github.com/topics/tensorflow)
26. Google Dataset Search   
[https://toolbox.google.com/datasetsearch](https://toolbox.google.com/datasetsearch)
27. Google Facial Expression Comparison Dataset (CC0 1.0)   
[https://ai.google/tools/datasets/google-facial-expression](https://ai.google/tools/datasets/google-facial-expression)
28. Google Landmarks Dataset   
[https://www.kaggle.com/google/google-landmarks-dataset](https://www.kaggle.com/google/google-landmarks-dataset)
29. Google ML Kit   
[https://developers.google.com/ml-kit](https://developers.google.com/ml-kit)
30. Google Open Images Dataset   
[https://ai.googleblog.com/2016/09/introducing-open-images-dataset.html](https://ai.googleblog.com/2016/09/introducing-open-images-dataset.html)
31. Google Teachable Machine   
[https://teachablemachine.withgoogle.com](https://teachablemachine.withgoogle.com)
32. H20 AI   
[https://www.h2o.ai](https://www.h2o.ai)
33. IBM Watson Starter Kits   
[https://cloud.ibm.com/developer/watson/starter-kits](https://cloud.ibm.com/developer/watson/starter-kits)
34. IMDB Movie Review Dataset   
[http://ai.stanford.edu/~amaas/data/sentiment](http://ai.stanford.edu/~amaas/data/sentiment)
35. Imagenet Image Database   
[http://image-net.org](http://image-net.org)
36. JVC Video Game Reviews Dataset   
[https://www.kaggle.com/floval/jvc-game-reviews](https://www.kaggle.com/floval/jvc-game-reviews)
37. Kaggle Datasets   
[https://www.kaggle.com](https://www.kaggle.com)
38. Labeled Faces in the Wild   
[http://vis-www.cs.umass.edu/lfw](http://vis-www.cs.umass.edu/lfw)
39. LabelMe Dataset   
[http://labelme.csail.mit.edu/Release3.0/browserTools/php/dataset.php](http://labelme.csail.mit.edu/Release3.0/browserTools/php/dataset.php)
40. LISA Traffic Light Dataset (CC BY-NC-SA 4.0)   
[https://www.kaggle.com/mbornoe/lisa-traffic-light-dataset](https://www.kaggle.com/mbornoe/lisa-traffic-light-dataset)
41. Machine Learning Playground   
[http://ml-playground.com](http://ml-playground.com)
42. Machine Learning Showcase   
[https://ml-showcase.com](https://ml-showcase.com)
43. Mahout   
[https://mahout.apache.org](https://mahout.apache.org)
44. Microsoft Cognitive Toolkit   
[https://docs.microsoft.com/en-us/cognitive-toolkit](https://docs.microsoft.com/en-us/cognitive-toolkit)
45. Microsoft Distributed Machine Learning Toolkit   
[http://www.dmtk.io](http://www.dmtk.io)
46. Million Song Dataset   
[http://millionsongdataset.com](http://millionsongdataset.com)
47. MLlib   
[https://spark.apache.org/mllib](https://spark.apache.org/mllib)
48. Movie Review Datasets   
[http://www.cs.cornell.edu/people/pabo/movie-review-data](http://www.cs.cornell.edu/people/pabo/movie-review-data)
49. MovieLens Datasets   
[https://grouplens.org/datasets/movielens](https://grouplens.org/datasets/movielens)
50. Mushroom Dataset   
[https://archive.ics.uci.edu/ml/datasets/mushroom](https://archive.ics.uci.edu/ml/datasets/mushroom)
51. MXNet   
[https://mxnet.apache.org](https://mxnet.apache.org)
52. Mycroft   
[https://mycroft.ai](https://mycroft.ai)
53. Natural Earth Data   
[http://www.naturalearthdata.com/downloads](http://www.naturalearthdata.com/downloads)
54. Numenta   
[https://numenta.com](https://numenta.com)
55. ONNX   
[https://onnx.ai](https://onnx.ai)
56. Open ML Datasets   
[https://www.openml.org/search?type=data](https://www.openml.org/search?type=data)
57. OpenCyc   
[https://www.cyc.com/opencyc](https://www.cyc.com/opencyc)
58. OpenNN   
[http://www.opennn.net](http://www.opennn.net)
59. Oryx 2   
[http://oryx.io](http://oryx.io)
60. Oxford Robotcar Dataset (CC4.0)   
[https://robotcar-dataset.robots.ox.ac.uk](https://robotcar-dataset.robots.ox.ac.uk)
61. PredictionIO   
[http://predictionio.apache.org](http://predictionio.apache.org)
62. Price of Weed Dataset   
[https://github.com/frankbi/price-of-weed](https://github.com/frankbi/price-of-weed)
63. PyTorch   
[https://pytorch.org](https://pytorch.org)
64. Real & Fake Face Detection   
[https://www.kaggle.com/ciplab/real-and-fake-face-detection](https://www.kaggle.com/ciplab/real-and-fake-face-detection)
65. Scikit-learn   
[https://scikit-learn.org](https://scikit-learn.org)
66. Shogun   
[https://www.shogun-toolbox.org](https://www.shogun-toolbox.org)
67. Stanford Cars Dataset   
[http://ai.stanford.edu/~jkrause/cars/car\_dataset.html](http://ai.stanford.edu/~jkrause/cars/car_dataset.html)
68. Stanford Dogs Dataset   
[http://vision.stanford.edu/aditya86/ImageNetDogs](http://vision.stanford.edu/aditya86/ImageNetDogs)
69. Stanford Large Network Dataset Collection   
[https://snap.stanford.edu/data](https://snap.stanford.edu/data)
70. Stanford Sentiment Treebank   
[https://nlp.stanford.edu/sentiment/code.html](https://nlp.stanford.edu/sentiment/code.html)
71. The Blog Authorship Corpus (research only)   
[http://u.cs.biu.ac.il/~koppel/BlogCorpus.htm](http://u.cs.biu.ac.il/~koppel/BlogCorpus.htm)
72. The French Lexicon Project   
[https://sites.google.com/site/frenchlexicon/results](https://sites.google.com/site/frenchlexicon/results)
73. Theanot   
[http://www.deeplearning.net/software/theano](http://www.deeplearning.net/software/theano)
74. Tensorflow   
[https://www.tensorflow.org](https://www.tensorflow.org)
75. TME Motorway Dataset (research only)   
[http://cmp.felk.cvut.cz/data/motorway](http://cmp.felk.cvut.cz/data/motorway)
76. Torch   
[http://torch.ch](http://torch.ch)
77. Tufts Face Database (research only)   
[http://tdface.ece.tufts.edu](http://tdface.ece.tufts.edu)
78. UCI Machine Learning Repository   
[http://archive.ics.uci.edu/ml/index.php](http://archive.ics.uci.edu/ml/index.php)
79. UFO Reports Dataset   
[https://github.com/planetsig/ufo-reports](https://github.com/planetsig/ufo-reports)
80. Vandal Video Game Reviews Dataset   
[https://www.kaggle.com/floval/12-000-video-game-reviews-from-vandal](https://www.kaggle.com/floval/12-000-video-game-reviews-from-vandal)
81. Visual Genome   
[http://visualgenome.org](http://visualgenome.org)
82. Wacky Corpus (CC BY-NC-SA 4.0)   
[https://wacky.sslmit.unibo.it/doku.php?id=corpora](https://wacky.sslmit.unibo.it/doku.php?id=corpora)
83. Wine Quality Dataset   
[https://archive.ics.uci.edu/ml/datasets/wine+quality](https://archive.ics.uci.edu/ml/datasets/wine+quality%20)
84. World Bank Open Data   
[https://data.worldbank.org](https://data.worldbank.org)
85. Yale Face Database (research only)   
[http://cvc.cs.yale.edu/cvc/projects/yalefaces/yalefaces.html](http://cvc.cs.yale.edu/cvc/projects/yalefaces/yalefaces.html)
86. Yelp Open Dataset (research only)   
[https://www.yelp.com/dataset](https://www.yelp.com/dataset)
87. YouTube-8M Segments Dataset   
[https://research.google.com/youtube8m](https://research.google.com/youtube8m)

### Big Tech R&D

1. AI2   
[https://allenai.org](https://allenai.org)
2. AWS Machine Learning   
[https://aws.amazon.com/machine-learning](https://aws.amazon.com/machine-learning)
3. Baidu Research   
[http://research.baidu.com/Blog](http://research.baidu.com/Blog)
4. Berkeley Artificial Intelligence Research (BAIR)   
[https://bair.berkeley.edu](https://bair.berkeley.edu)
5. DeepMind   
[https://deepmind.com](https://deepmind.com)
6. Duolingo AI   
[https://ai.duolingo.com](https://ai.duolingo.com)
7. Energy.gov   
[https://www.energy.gov/artificial-intelligence-and-machine-learning](https://www.energy.gov/artificial-intelligence-and-machine-learning)
8. Facebook AI   
[https://ai.facebook.com](https://ai.facebook.com)
9. Facebook AI Research   
[https://research.fb.com/category/facebook-ai-research](https://research.fb.com/category/facebook-ai-research)
10. GE Artificial Intelligence   
[https://www.ge.com/research/technology-domains/artificial-intelligence](https://www.ge.com/research/technology-domains/artificial-intelligence)
11. Google AI   
[https://ai.google](https://ai.google)
12. Google AI & Machine Learning Products   
[https://cloud.google.com/products/ai](https://cloud.google.com/products/ai)
13. IBM Research AI   
[https://www.research.ibm.com/artificial-intelligence](https://www.research.ibm.com/artificial-intelligence)
14. Intel AI   
[https://software.intel.com/en-us/ai](https://software.intel.com/en-us/ai)
15. Journal of Artificial Intelligence Research (JAIR)   
[https://www.jair.org](https://www.jair.org)
16. Microsoft Artificial Intelligence   
[https://www.microsoft.com/en-us/research/research-area/artificial-intelligence](https://www.microsoft.com/en-us/research/research-area/artificial-intelligence)
17. OpenAI   
[https://openai.com](https://openai.com)
18. Partnership on AI   
[https://www.partnershiponai.org](https://www.partnershiponai.org)
19. TayTweets   
[https://twitter.com/tayandyou](https://twitter.com/tayandyou)
Let us know if we missed your favorite AI/machine learning tool or dataset. Also be sure to check out places to [educate yourself about AI/machine learning](https://vuild.com/ai-education).

This data is from [Vuild’s list of AI/machine learning tools & datasets](https://vuild.com/ai-tools). Please visit [vuild.com](https://vuild.com) for more.