Hacker News
- Horovod: Distributed Training Framework for TensorFlow, Keras, and PyTorch https://github.com/uber/horovod 9 comments
Linking pages
- Glow: Better Reversible Generative Models https://blog.openai.com/glow/ 35 comments
- Hardware for Deep Learning. Part 3: GPU | by Grigory Sapunov | Intento https://blog.inten.to/hardware-for-deep-learning-part-3-gpu-8906c1644664 13 comments
- Picking a GPU for Deep Learning. Buyer’s guide in 2019 | by Slav Ivanov | Slav https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9 12 comments
- Keras + Horovod = Distributed Deep Learning on Steroids | by Nischal HP | omni:us | Medium https://medium.com/searchink-eng/keras-horovod-distributed-deep-learning-on-steroids-94666e16673d 8 comments
- 30 Amazing Machine Learning Projects for the Past Year (v.2018) | by Mybridge | Mybridge for Professionals https://medium.mybridge.co/30-amazing-machine-learning-projects-for-the-past-year-v-2018-b853b8621ac7 2 comments
- GitHub - openai/glow: Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions" https://github.com/openai/glow 1 comment
- Mobile Machine Learning 101: Glossary | by Jameson Toole | Medium https://heartbeat.fritz.ai/mobile-machine-learning-101-glossary-7a4ee36e0a1a 0 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- Uber releases Ludwig, an open source AI 'toolbox' built on top of TensorFlow | VentureBeat https://venturebeat.com/2019/02/11/uber-releases-ludwig-an-open-source-ai-toolbox-built-on-top-of-tensorflow/ 0 comments
- GitHub - microsoft/Freeflow: High performance container overlay networks on Linux. Enabling RDMA (on both InfiniBand and RoCE) and accelerating TCP to bare metal performance. Freeflow requires zero modification on application code/binary. https://github.com/Microsoft/Freeflow 0 comments
- New – EC2 P3dn GPU Instances with 100 Gbps Networking & Local NVMe Storage for Faster Machine Learning + P3 Price Reduction | AWS News Blog https://aws.amazon.com/blogs/aws/new-ec2-p3dn-gpu-instances-with-100-gbps-networking-local-nvme-storage-for-faster-machine-learning-p3-price-reduction/ 0 comments
- DeepMind TF-Replicator Simplifies Model Deployment on Cluster Architectures | by Synced | SyncedReview | Medium https://medium.com/syncedreview/deepmind-tf-replicator-simplifies-model-deployment-on-cluster-architectures-c6ab5fcb85ee 0 comments
- New Features For Amazon SageMaker: Workflows, Algorithms, and Accreditation | AWS Machine Learning Blog https://aws.amazon.com/blogs/machine-learning/new-features-for-amazon-sagemaker-workflows-algorithms-and-accreditation/ 0 comments
- Multi-GPU Framework Comparisons. GitHub Link | by Ilia Karmanov | Medium https://medium.com/@iliakarmanov/multi-gpu-rosetta-stone-d4fa96162986 0 comments
- Mapping Israel’s Machine Learning Startups | by Yonatan Mandelbaum | TLV Partners | Medium https://medium.com/tlv-partners/mapping-israels-machine-learning-startups-c7feb31f7063 0 comments
- Kubeflow in 2018: A year in perspective | by Thea Lamkin | kubeflow | Medium https://medium.com/kubeflow/kubeflow-in-2018-a-year-in-perspective-49c273b490f4 0 comments
- Bringing HPC Techniques to Deep Learning - Andrew Gibiansky https://andrew.gibiansky.com/blog/machine-learning/baidu-allreduce/ 0 comments
Linked pages
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