закладки (спрятать)609
- A recipe to study Graph Neural Networks (GNNs). Contribute to dair-ai/GNNs-Recipe development by creating an account on GitHub.
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020) - GitHub - rasbt/stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
- Deep Learning Fundamentals -- Code material and exercises - GitHub - Lightning-AI/dl-fundamentals: Deep Learning Fundamentals -- Code material and exercises
- Port of OpenAI's Whisper model in C/C++. Contribute to ggerganov/whisper.cpp development by creating an account on GitHub.
публикации (спрятать)39
- (2019)cite arxiv:1908.04351.
- (2019)cite arxiv:1909.10893.
- (2019)cite arxiv:1910.05929Comment: 10 pages, 8 figures.
- (2019)cite arxiv:1910.06711.
- (2019)cite arxiv:1911.04252.
- (2019)cite arxiv:1911.05722Comment: Technical report.
- (2019)cite arxiv:1906.02506Comment: NeurIPS 2019.
- (2017)cite arxiv:1704.03976Comment: To be appeared in IEEE Transactions on Pattern Analysis and Machine Intelligence.
- (2020)cite arxiv:2002.02065Comment: 5 pages.
- (2020)
- Frontiers in Neuroscience, (марта 2020)
- (2014)cite arxiv:1502.05988.
- (2020)cite arxiv:2010.13581Comment: NeurIPS 2020. Code available at https://github.com/mfinzi/constrained-hamiltonian-neural-networks.
- (2018)cite arxiv:1808.08931Comment: The original version was accepted by KDD2018. Code is publicly available at https://github.com/divelab/dilated.
- (2020)cite arxiv:2010.10504Comment: 11 pages, 3 figures, 5 tables. Submitted to NeurIPS SAS 2020 Workshop.
- (2014)cite arxiv:1406.7872Comment: Notes prepared to accompany a series of tutorial lectures given by the author at the 1st Lake Michigan Workshop on Combinatorics and Graph Theory, Western Michigan University, March 15--16 2014.
- (2021)cite arxiv:2110.05838Comment: Under review.
- (2016)cite arxiv:1606.04838.
- Information, 14 (2): 137 (февраля 2023)
- Transactions of the International Society for Music Information Retrieval, 6 (1): 89–102 (2023)
