Linking pages
Linked pages
- Mathpix: Document cloud for research http://mathpix.com/ 227 comments
- Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation https://d2l.ai/ 223 comments
- Quantum Supremacy Using a Programmable Superconducting Processor – Google AI Blog https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html 217 comments
- https://www.cis.upenn.edu/~jean/math-deep.pdf 167 comments
- The latest in Machine Learning | Papers With Code https://paperswithcode.com/ 118 comments
- Understanding searches better than ever before https://www.blog.google/products/search/search-language-understanding-bert/ 109 comments
- Better Language Models and Their Implications https://openai.com/blog/better-language-models/ 99 comments
- Tensor Considered Harmful http://nlp.seas.harvard.edu/NamedTensor 91 comments
- https://www.fast.ai/2019/01/24/course-v3/ 85 comments
- Mathematics for Machine Learning | Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press. https://mml-book.github.io/ 81 comments
- Scipy Lecture Notes — Scipy lecture notes http://www.scipy-lectures.org/ 72 comments
- Quantum supremacy using a programmable superconducting processor | Nature https://www.nature.com/articles/s41586-019-1666-5 69 comments
- Open Questions about Generative Adversarial Networks https://distill.pub/2019/gan-open-problems 51 comments
- Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/ 45 comments
- ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations – Google AI Blog https://ai.googleblog.com/2019/12/albert-lite-bert-for-self-supervised.html 45 comments
- Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules – Google AI Blog https://ai.googleblog.com/2019/10/learning-to-smell-using-deep-learning.html 44 comments
- Transformers from scratch | peterbloem.nl http://peterbloem.nl/blog/transformers 40 comments
- A Recipe for Training Neural Networks http://karpathy.github.io/2019/04/25/recipe/#2-set-up-the-end-to-end-trainingevaluation-skeleton--get-dumb-baselines 39 comments
- https://david-abel.github.io/notes/neurips_2019.pdf 36 comments
- [1911.01547] On the Measure of Intelligence https://arxiv.org/abs/1911.01547 36 comments
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