Linking pages
- 🏡Your guide to AI: Q1 2020, part 1 | Revue http://newsletter.airstreet.com/issues/your-guide-to-ai-in-q1-2020-part-1-2-212335 0 comments
- How to Scale Python on Every Major Cloud Provider | by Robert Nishihara | Distributed Computing with Ray | Medium https://medium.com/distributed-computing-with-ray/how-to-scale-python-on-every-major-cloud-provider-12b3bde01208 0 comments
Linked pages
- Amdahl's law - Wikipedia https://en.wikipedia.org/wiki/Amdahl%27s_law 80 comments
- Material for MkDocs http://squidfunk.github.io/mkdocs-material 77 comments
- About Nanomsg http://nanomsg.org/ 34 comments
- http://eng.uber.com/go-explore/ 19 comments
- https://gym.openai.com/ 18 comments
- https://eng.uber.com/generative-teaching-networks/ 15 comments
- [1703.03864] Evolution Strategies as a Scalable Alternative to Reinforcement Learning https://arxiv.org/abs/1703.03864 12 comments
- http://www.cs.toronto.edu/~vmnih/docs/dqn.pdf 10 comments
- MuJoCo — Advanced Physics Simulation http://www.mujoco.org/ 4 comments
- https://arxiv.org/abs/1707.06347 3 comments
- MkDocs https://www.mkdocs.org/ 3 comments
- GitHub - openai/baselines: OpenAI Baselines: high-quality implementations of reinforcement learning algorithms https://github.com/openai/baselines 3 comments
- https://static.googleusercontent.com/media/research.google.com/en/people/jeff/stanford-295-talk.pdf 0 comments
- http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html 0 comments
- https://eng.uber.com/poet-open-ended-deep-learning/ 0 comments
- AI and compute https://openai.com/blog/ai-and-compute/ 0 comments
- GitHub - uber/fiber: Distributed Computing for AI Made Simple https://github.com/uber/fiber 0 comments
- GitHub - ray-project/ray: Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. https://github.com/ray-project/ray 0 comments
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