Top news of the week: 01.10.2020.
Learning, Das Model, Machine learning, Cloud computing, Data, Massachusetts Institute of Technology
Research
RT @CoiledHQ: We're excited to launch Coiled Cloud and to announce our recent funding.
"Dask and scalable data science for everyone, everywhere."
https://t.co/Wqra6I1Ufk
OpenCoiled: Dask for Everyone, Everywhere
Data scientists increasingly solve large machine learning and data problems with Python. But historically Python struggled with parallel…
With the reinforcement learning package coax, you can create simple, reproducible RL solutions. The open-source project is based on JAX, making it fast, and is intuitive thanks to its modular design. Easily turn RL papers into code: https://t.co/AuR6SU3cb5
Opencoax: A Modular RL Package
A modular Reinforcement Learning (RL) python package for solving OpenAI Gym environments with JAX-based function approximators (using Haiku).
RT @urinieto: I selected my favorite content of #recsys2020. As a first timer, I really enjoyed this conference! I just missed the real caipirinhas https://t.co/JL1rvvd1yB
Open
RT @idsai_uom: Our Advances in Data Science seminar series begins again next week! The the first guest speaker is @lawrennd, who will be presenting his talk 'Deploying Machine Learning: Intellectual Debt and AutoAI'. Find out more and register here: https://t.co/FhknDGIvSh
OpenThe Institute for Data Science & AI invites you to our Advances in Data Science seminar series with Neil Lawrence
The Institute for Data Science & AI invites you to our Advances in Data Science seminar series with Neil Lawrence
The GANs Specialization by @DeepLearningAI_ just launched on @Coursera! You’ll master foundational GAN concepts, build your own GAN to transfer image styles, implement state-of-the-art StyleGAN techniques, and more. @realSharonZhou Check it out: https://t.co/9fARjTZk5A
OpenGenerative Adversarial Networks (GANs) Specialization
Offered by DeepLearning.AI. About GANs Generative Adversarial Networks (GANs) are powerful machine learning models capable of generating realistic image, video, and voice outputs. ...
RT @PyTorch: PyTorch/XLA, a package that lets PyTorch connect to @GCPcloud TPUs and use TPU cores as devices, is now generally available. Highlights:
- Support for Intra-Layer Model Parallelism
- Additional XLA ops
- Integrations with Colab and Kaggle notebooks
https://t.co/VwgPHlqe5M
OpenPyTorch / XLA is now Generally Available on Google Cloud TPUs
PyTorch / XLA, a package that lets PyTorch connect to Cloud TPUs and use TPU cores as devices, is now generally available.
RT @Taylor_Soper: ‘OpenAI should be renamed ClosedAI’: Reaction from @etzioni @allen_ai, @greggottesman @psl, and @pmddomingos @uwcse to Microsoft’s exclusive license for OpenAI’s GPT-3 https://t.co/zE53MaGwLV
Open‘OpenAI should be renamed ClosedAI’: Reaction to Microsoft’s exclusive license of OpenAI’s GPT-3
Microsoft this week gained an exclusive license to OpenAI's GPT-3, the state-of-the-art language model garnering attention across the tech industry. Other companies will still be able to ...
RT @Tbeltramelli: Should you deploy and use Semi-Supervised Learning in production? Here are some of our learnings at @uizardIO written by our talented Varun:
https://t.co/TimP5PBkpI
OpenFrom Research to Production with Deep Semi-Supervised Learning
Semi-Supervised Learning (SSL) has blossomed in the deep learning research community — we share lessons learned taking SSL into production.