AI - Chainer
Empowering developers with flexible deep learning solutions through Chainer's open-source framework, featuring automatic differentiation APIs, high-level interfaces, and GPU support.
- Name
- Chainer -https://github.com/chainer/chainer
- Last Audited At
About Chainer
Chainer is a flexible deep learning framework written in Python. The company develops and maintains this open-source project, which offers automatic differentiation APIs utilizing the define-by-run approach and high-level object-oriented interfaces to construct and train neural networks. Chainer also supports CUDA/cuDNN using Cupy for efficient training and inference. For more details about Chainer's features, installation, tutorials, examples, guides, and community engagement opportunities, refer to the provided documentation and resources, as well as the ChainerX library.
Chainer was presented at various conferences, including the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining in 2019 and the Workshop on Machine Learning Systems (LearningSys) at the Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS) in 2015.
Please note that as of December 2019, Chainer is under maintenance phase, with development limited to bug-fixes and maintenance only. For further details, visit (https://chainer.org/announcement/2019/12/05/released-v7.html).
Chainer is released under the MIT License.