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neomatrix369 committed Nov 29, 2019
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2 changes: 1 addition & 1 deletion cloud-devops-infra/README.md
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- [plz](http://github.com/prodo-ai/plz) - Plz (pronounced "please") runs your jobs storing code, input, outputs and results so that they can be queried programmatically.
- [valohai](https://www.valohai.com/) | [docs](https://docs.valohai.com/) | [blogs](https://blog.valohai.com) | [GitHub](https://github.com/valohai) | [Videos](https://www.youtube.com/channel/UCiR8Fpv6jRNphaZ99PnIuFg) | [Showcase](https://valohai.com/showcase/) | [Slack](http://community-slack.valohai.com/) - Valohai is a machine learning platform. It runs your experiments in the cloud, tracks your experiment history and streamlines data science workflows. DEEP LEARNING MANAGEMENT PLATFORM. Machine Orchestration, Version Control and Pipeline Management for Deep Learning.
- [Seldon](https://www.seldon.io/open-source/) - Model deployment platform, on kubernetes clusters. | [docs](https://docs.seldon.io/projects/seldon-core/en/latest/) | [github](https://github.com/SeldonIO/seldon-core/blob/master/readme.md) | [use-cases](https://www.seldon.io/use-cases/) | [blogs](https://www.seldon.io/blog/) | [videos](https://www.youtube.com/channel/UCZq33lhQWAsd-8NDqOdjN_g/videos?view_as=subscriber) | [Seldon's opensource library for MachineLearning model inspection and interpretation](https://github.com/SeldonIO/alibi)
- [kedra](https://github.com/quantumblacklabs/kedro) | [docs](https://kedro.readthedocs.io/en/latest/) | [Kedro-Viz](https://github.com/quantumblacklabs/kedro-viz) | [kedro-examples](https://github.com/quantumblacklabs/kedro-examples) - Kedro is a workflow development tool that helps you build data pipelines that are robust, scalable, deployable, reproducible and versioned.
- [kedro](https://github.com/quantumblacklabs/kedro) | [docs](https://kedro.readthedocs.io/en/latest/) | [Kedro-Viz](https://github.com/quantumblacklabs/kedro-viz) | [kedro-examples](https://github.com/quantumblacklabs/kedro-examples) - Kedro is a workflow development tool that helps you build data pipelines that are robust, scalable, deployable, reproducible and versioned.
- [Lambda Stack](https://lambdalabs.com/lambda-stack-deep-learning-software) - One-line installation of TensorFlow, Keras, Caffe, Caffe, CUDA, cuDNN, and NVIDIA Drivers for Ubuntu 16.04 and 18.04.
- [Apache Airflow](https://airflow.apache.org/) - Airflow is a platform to programmatically author, schedule and monitor workflows. Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies.
- [Nextflow](https://www.nextflow.io/) - Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages.
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2 changes: 1 addition & 1 deletion natural-language-processing/README.md
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## Presentations

- [Natural Language Procoessing presentation by Ovidiu S.](../presentations/nlp/)
- [Natural Language Processing presentation by Ovidiu S.](../presentations/nlp/)
- [Better NLP - presentations](../examples/better-nlp/presentations)
- Training Multi-Billion Parameter Language Models with Megatron Webinar: [Slides](https://ssl.lvl3.on24.com/event/20/93/08/9/rt/1/documents/resourceList1571091756296/megatronwebinar17oct20191571091755100.pdf) |
[NVIDIA/Megatron-LM github](https://github.com/nvidia/megatron-lm) | [Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism](https://arxiv.org/abs/1909.08053) | [Subscribe to the Higher Education and Research Newsletter (Nvidia)](https://www.nvidia.com/en-us/industries/higher-education-research/#subscribe-me-solutions&ncid=em-webi-23619#cid=ix01_em-webi_en-us)
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