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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Summaries and notes on Deep Learning research papers
| Date | Stars |
|---|---|
| 2026-07-31 | 4420 |
| 2026-08-01 | 4422 |
| 2026-08-02 | 4422 |
| 2026-08-06 | 4422 |
Today
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Momentum
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growth rate 0.00%/day
#### 2018-02 - The Matrix Calculus You Need For Deep Learning [[arXiv](https://arxiv.org/abs/1802.01528v2)] - Regularized Evolution for Image Classifier Architecture Search [[arXiv](https://arxiv.org/abs/1802.01548)] - Online Learning: A Comprehensive Survey [[arXiv](https://arxiv.org/abs/1802.02871)] - Visual Interpretability for Deep Learning: a Survey [[arXiv](https://arxiv.org/abs/1802.00614)] - Behavior is Everything – Towards Representing Concepts with Sensorimotor Contingencies [[paper](https://www.vicarious.com/wp-content/uploads/2018/01/AAAI18-pixelworld.pdf)] [[article](https://www.vicarious.com/2018/02/07/learning-concepts-through-sensorimotor-interactions/)] [[code](https://github.com/vicariousinc/pixelworld)] - IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures [[arXiv](https://arxiv.org/abs/1802.01561)] [[article](https://deepmind.com/blog/impala-scalable-distributed-deeprl-dmlab-30/)] [[code](https://github.com/deepmind/lab/tree/master/game_scripts/levels/contributed/dmlab30)] - DeepType: Multilingual Entity Linking by Neural Type System Evolution [[arXiv](https://arxiv.org/abs/1802.01021)] [[article](https://blog.openai.com/discovering-types-for-entity-disambiguation/)] [[code](https://github.com/openai/deeptype)] - DensePose: Dense Human Pose Estimation In The Wild [[arXiv](https://arxiv.org/abs/1802.00434)] [[article](http://densepose.org/)] #### 2018-01 - Nested LSTMs [[arXiv](https://arxiv.org/abs/1801.10308)] - Generating Wikipedia by Summarizing Long Sequences [[arXiv](https://arxiv.org/abs/1801.10198)] - Scalable and accurate deep learning for electronic health records [[arXiv](https://arxiv.org/abs/1801.07860)] - Kernel Feature Selection via Conditional Covariance Minimization [[NIPS paper](https://papers.nips.cc/paper/7270-kernel-feature-selection-via-conditional-covariance-minimization.pdf)] [[article](http://bair.berkeley.edu/blog/2018/01/23/kernels/)] [[code](https://github.com/Jianbo-Lab/CCM)] - Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents [[arXiv](https://arxiv.org/abs/1801.08116)] [[article](https://deepmind.com/blog/open-sourcing-psychlab/)] [[code](https://github.com/deepmind/lab/tree/master/game_scripts/levels/contributed/psychlab)] - Fine-tuned Language Models for Text Classification [[arXiv](https://arxiv.org/abs/1801.06146)] [[code]()] (soon) - Deep Learning: An Introduction for Applied Mathematicians [[arXiv](https://arxiv.org/abs/1801.05894v1)] - Innateness, AlphaZero, and Artificial Intelligence [[arXiv](https://arxiv.org/abs/1801.05667)] - Can Computers Create Art? [[arXiv](https://arxiv.org/abs/1801.04486)] - eCommerceGAN : A Generative Adversarial Network for E-commerce [[arXiv](https://arxiv.org/abs/1801.03244)] - Expected Policy Gradients for Reinforcement Learning [[arXiv](https://arxiv.org/abs/1801.03326)] - DroNet: Learning to Fly by Driving [[UZH docs](http://rpg.ifi.uzh.ch/docs/RAL18_Loquercio.pdf)] [[article](http://rpg.ifi.uzh.ch/dronet.html)] [[code](https://github.com/uzh-rpg/rpg_public_dronet)] - Symmetric Decomposition of Asymmetric Games [[Scientific Reports](https://www.nature.com/articles/s41598-018-19194-4)] [[article](https://deepmind.com/blog/game-theory-insights-asymmetric-multi-agent-games/)] - Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor [[arXiv](https://arxiv.org/abs/1801.01290)] [[code](https://github.com/haarnoja/sac)] - SBNet: Sparse Blocks Network for Fast Inference [[arXiv](https://arxiv.org/pdf/1801.02108.pdf)] [[article](https://eng.uber.com/sbnet/)] [[code](https://github.com/uber/sbnet)] - DeepMind Control Suite [[arXiv](https://arxiv.org/abs/1801.00690)] [[code](https://github.com/deepmind/dm_control)] - Deep Learning: A Critical Appraisal [[arXiv](https://arxiv.org/abs/1801.00631)] #### 2017-12 - Adversarial Patch [[arXiv](https://arxiv.org/abs/1712.09665)] - CNN Is All You Need [[arXiv](https://arxiv.org/abs/1712.09662)] - Lea
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Denny Britz · Japan
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:43d067b1602775de, llm:Repository description: 'Summaries and notes on Deep Learning research papers' (deeplearning paper notes).
matched fp:43d067b1602775de, llm:Repository description: 'Summaries and notes on Deep Learning research papers' (deeplearning paper notes).