December 06, 2019
PyTorch adds new tools and libraries, welcomes Preferred Networks to its community
PyTorch continues to be used for the latest state-of-the-art research on display at the NeurIPS conference next week, making up nearly 70% of papers that cite a framework. In addition, we’re excited to welcome Preferred Networks, the maintainers of the Chainer framework, to the PyTorch community. Their teams are moving fully over to PyTorch for developing their ML capabilities and services.
December 06, 2019
OpenMined and PyTorch partner to launch fellowship funding for privacy-preserving ML community
Many applications of machine learning (ML) pose a range of security and privacy challenges.
October 10, 2019
PyTorch 1.3 adds mobile, privacy, quantization, and named tensors
PyTorch continues to gain momentum because of its focus on meeting the needs of researchers, its streamlined workflow for production use, and most of all because of the enthusiastic support it has received from the AI community. PyTorch citations in papers on ArXiv grew 194 percent in the first half of 2019 alone, as noted by O...
