Chainer swMATH ID: 26707 Software Authors: Seiya Tokui, Kenta Oono, Shohei Hido, Justin Clayton Description: Chainer: a next-generation open source framework for deep learning. Chainer is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using CuPy for high performance training and inference. For more details of Chainer, see the documents and resources listed above and join the community in Forum, Slack, and Twitter. Homepage: https://chainer.org/ Source Code: https://github.com/chainer/chainer Related Software: PyTorch; TensorFlow; Python; Theano; MXNet; Caffe; Adam; OpenAI Gym; Scikit; ImageNet; Keras; Torch; Tangent; cuDNN; CNTK; AlexNet; AdaGrad; MoleculeNet; ZINC; PiNN Cited in: 6 Publications all top 5 Cited by 16 Authors 2 Ruehle, Fabian 1 Baydin, Atılım Güneş 1 Chrysos, Grigorios G. 1 Halverson, James 1 Ishihara, Koji 1 Itoh, Takeshi D. 1 Kawamoto, Tatsuro 1 Kossaifi, Jean 1 Morimoto, Jun 1 Nelson, Brent D. 1 Obuchi, Tomoyuki 1 Pearlmutter, Barak A. 1 Radul, Alexey Andreyevich 1 Siskind, Jeffrey Mark 1 Tsubaki, Masashi 1 Zafeiriou, Stefanos P. all top 5 Cited in 6 Serials 1 Physics Reports 1 Neural Computation 1 International Journal of Computer Vision 1 Journal of High Energy Physics 1 Journal of Machine Learning Research (JMLR) 1 Journal of Statistical Mechanics: Theory and Experiment all top 5 Cited in 11 Fields 3 Computer science (68-XX) 2 Quantum theory (81-XX) 1 Combinatorics (05-XX) 1 Algebraic topology (55-XX) 1 Probability theory and stochastic processes (60-XX) 1 Statistics (62-XX) 1 Numerical analysis (65-XX) 1 Relativity and gravitational theory (83-XX) 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 1 Biology and other natural sciences (92-XX) 1 Systems theory; control (93-XX) Citations by Year