Linking pages
- CASP14: what Google DeepMind’s AlphaFold 2 really achieved, and what it means for protein folding, biology and bioinformatics | Oxford Protein Informatics Group https://www.blopig.com/blog/2020/12/casp14-what-google-deepminds-alphafold-2-really-achieved-and-what-it-means-for-protein-folding-biology-and-bioinformatics/ 159 comments
- GitHub - cybertronai/gradient-checkpointing: Make huge neural nets fit in memory https://github.com/openai/gradient-checkpointing 3 comments
- automl/efficientdet at master · google/automl · GitHub https://github.com/google/automl/tree/master/efficientdet 0 comments
Linked pages
- Galactic Algorithms | Gödel's Lost Letter and P=NP https://rjlipton.wordpress.com/2010/10/23/galactic-algorithms/ 7 comments
- GitHub - cybertronai/gradient-checkpointing: Make huge neural nets fit in memory https://github.com/openai/gradient-checkpointing 3 comments
- GitHub - openai/pixel-cnn: Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications" https://github.com/openai/pixel-cnn 0 comments
- [1604.06174] Training Deep Nets with Sublinear Memory Cost https://arxiv.org/abs/1604.06174 0 comments
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