Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
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May 1, 2024 - Jupyter Notebook
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Large-scale pretraining for dialogue
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
A light-weight, flexible, and expressive statistical data testing library
Machine Learning notebooks for refreshing concepts.
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Use this template repository to write projects and tenders data ingestion pipelines
A list about Apache Kafka
Concurrent and multi-stage data ingestion and data processing with Elixir
Extract Transform Load for Python 3.5+
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
Elastic data processing with Apache Pulsar and Apache Flink
Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.
Large-scale pretrained models for goal-directed dialog
Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning
Kubernetes-native platform to run massively parallel data/streaming jobs
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