bookmarks (hide)1873
- 6502
- Improving the Health of Future Generations
- A real-time interactive journey through the Apollo 11 mission. Relive every moment as it occurred in 1969.
- Tensorflow implementation of contextualized word representations from bi-directional language models - allenai/bilm-tf
- Unsupervised text tokenizer for Neural Network-based text generation. - google/sentencepiece
- TensorFlow code and pre-trained models for BERT. Contribute to google-research/bert development by creating an account on GitHub.
- �� Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch. - huggingface/transformers
- BioBERT: a pre-trained biomedical language representation model - dmis-lab/biobert
- HuggingFace introduces DilBERT, a distilled and smaller version of Google AI’s Bert model with strong performances on language understanding. DilBert s included in the pytorch-transformers library.
- Games have been used for decades as an important way to test and evaluate the performance of artificial intelligence systems. As capabilities have increased, the research community has sought games with increasing complexity that capture different elements of intelligence required to solve scientific and real-world problems. In recent years, StarCraft, considered to be one of the most challenging Real-Time Strategy (RTS) games and one of the longest-played esports of all time, has emerged by consensus as a “grand challenge” for AI research.
- A mercurial to git converter using git-fast-import - frej/fast-export
- identify 23 subjects at risk for cardiovascular disease that were not detected by traditional statistical methods
- Get a view of the full spectrum of IBM Watson Health products. These products are addressing healthcare’s biggest challenges.
- Parameterized templates for Kubernetes manifests. Contribute to jimmycuadra/ktmpl development by creating an account on GitHub.
publications (hide)1088
- AAAI, page 53-60. AAAI Press, (2019)
- Nat Mater 18 (5): 410-414 (May 2019)
- page 2692-2700. (2015)
- Proceedings of the AAAI Conference on Artificial Intelligence (July 2019)
- COLING (Posters), page 265-274. Indian Institute of Technology Bombay, (2012)
- Proceedings of the 13th ACM Conference on Recommender Systems, page 101--109. New York, NY, USA, ACM, (2019)
- Deep Learning and Data Labeling for Medical Applications, page 238--248. Cham, Springer International Publishing, (2016)
- (2017)
- (2018)
- CoRR (2018)
- IJCAI, page 2378-2384. IJCAI/AAAI Press, (2016)
- (2019)
- TREC, Special Publication 500-321, National Institute of Standards and Technology (NIST), (2016)
- Applied Sciences 8 (5): 799 (May 2018)
- CoRR (2018)
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), page 4980--4991. Hong Kong, China, Association for Computational Linguistics, (November 2019)
- JAMA 316 (22): 2402-2410 (December 2016)
- (2019)cite arxiv:1909.05382.
- Nature (January 2017)
- (2017)cite arxiv:1703.02442Comment: Fig 1: normal and tumor patches were accidentally reversed - now fixed. Minor grammatical corrections in appendix, section "Image Color Normalization".
