- Miscellaneous
- Definitions
- Robot Learning, Georgia Institute for Robotics and Intelligent Machines, Atlanta, Georgia, USA
- Machine Learning Associates Inc., helps companies develop new data-driven products and services, California, USA
- Google Brain, deep learning research project, Google Inc., Mountain View, California, USA
- Project Adam, Microsoft Research, Redmond, Washington, USA
- SOINN (Self-Organizing Incremental Neural Network), unsupervised online-learning method, Hasegawa Laboratory, Tokyo, Japan
- Platform for Interactive Concept Learning (PICL), Machine Teaching Group, Microsoft Corporation, Redmond, Washington, USA
- Azure Machine Learning, Microsoft Corporation, Redmond, Washington, USA
- Machine teaching, Microsoft Corporation, Redmond, Washington, USA
- TensorFlow, open source software machine learning library, Google Inc., Mountain View, California, USA
- Microsoft Project Oxford, Artificial Intelligence APIs for developers, Microsoft Corporation, Redmond, Washington, USA
- GraphLab Create, machine learning framework, Turi Inc., Seattle, Washington, USA
- DMLC for Scalable and Reliable Machine Learning
- Machine learning dataset for researchers, Yahoo Inc., Sunnyvale, California, USA
- Microsoft Cognitive Toolkit, open source deep learning toolkit, Microsoft Corporation, Redmond, Washington, USA
- Baxter robots, learning to think, see, and cook, Maryland Robotics Center, College Park, USA
- Distributed Machine Learning Toolkit, Microsoft Corporation, Redmond, Washington, USA
- CaffeOnSpark, artificial intelligence engine for researchers, developers and competitors, Yahoo Inc., Sunnyvale, California, USA
- Nervana Cloud, platform for deep learning, Intel Nervana, San Diego, California, USA
- Aerosolve, open source machine learning package built for humans
- Cloud-based robot grasping with the google object recognition engine, Google Inc., Mountain View, California, USA
- Blog "Machine Learning (Theory)"
- Google Cloud Machine Learning, Google Inc., Mountain View, California, USA
- Machine learning algorithms by pushing the frontiers of neuroscience
- Theano, numerical computation library, Universite de Montreal, Montreal, Canada
- Amazon Machine Learning
- AI and Data Science, Nvidia Corporation, Santa Clara, California, USA
- Book "Machine Learning Yearning", Andrew Ng, 2016
- Torch, open source machine learning library
- Crowd teach robots language, Morphology, Evolution & Cognition Laboratory, University of Vermont, Burlington, Vermont, USA
- Loop Q, cognitive computing platform, Loop AI Labs, San Francisco, California, USA
- Intelligent Processing Unit, processor for machine learning, Graphcore Ltd, Bristol, United Kingdom
- PaddlePaddle, open deep learning platform for enterprise and research, Baidu, Inc., Beijing, China
- Brain Builder SDK, deep learning software, Neurala LLC, Boston, Massachusetts, USA
- Book "Deep Learning", Ian Goodfellow, Yoshua Bengio, Aaron Courville, December 9, 2016
- Machine Learning Conference, USA
- GOAL-Robots project, Europe
- Caffe, deep learning framework, Berkeley Vision and Learning Center, Berkeley, California, USA
- A.I. Experiments, exploring machine learning by playing with pictures, language, music, code, and more, Google Inc., Mountain View, California, USA
- [Coursera] Neural Networks for Machine Learning — Geoffrey Hinton 2016
- neon, open source deep learning framework, Intel Nervana, San Diego, California, USA
- Chainer, deep learning open source framework, Preferred Networks, Inc., Chiyoda-ku, Tokyo
- MXNet, open-source deep learning framework
- Deeplearning4j, commercial-grade, open-source, distributed deep-learning library
- Keras, python deep learning library
- Gluon, deep learning library
- Open Neural Network Exchange (ONNX), format for deep learning models
- PyTorch, deep learning framework
- Machine learning and Artificial Intelligence, Pinterest, San Francisco, California, USA
- Apple Machine Learning Journal, Apple Inc., Cupertino, California, USA
- Lifelong Learning Machines, DARPA, USA
- MLPerf, set of benchmarks for evaluating the performance of AI tools
- Machine Learning Mastery, making developers awesome at machine learning, Vermont, Victoria, USA
- "Neural Networks and Deep Learning", free online textbook, Michael Nielsen
- ReAgent, applied reinforcement learning platform, Meta Platforms, Inc., Menlo Park, California, USA
- MLPerf
- MLCommons