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Merge pull request #71 from BryanCutler/update-README-for-020-release
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Added new ops since 0.1.0 release and link for Ignite README
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yongtang authored Jan 29, 2019
2 parents 2c3a094 + 7d1b9df commit 7788ff4
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Expand Up @@ -8,11 +8,14 @@ TensorFlow I/O is a collection of file systems and file formats that are not
available in TensorFlow's built-in support.

At the moment TensorFlow I/O supports 5 data sources:
- `tensorflow_io.ignite`: Data source for Apache Ignite and Ignite File System (IGFS).
- `tensorflow_io.ignite`: Data source for Apache Ignite and Ignite File System (IGFS). Overview and usage guide [here](tensorflow_io/ignite/README.md).
- `tensorflow_io.kafka`: Apache Kafka stream-processing support.
- `tensorflow_io.kinesis`: Amazon Kinesis data streams support.
- `tensorflow_io.hadoop`: Hadoop SequenceFile format support.
- `tensorflow_io.arrow`: Apache Arrow data format support. Usage guide [here](tensorflow_io/arrow/README.md).
- `tensorflow_io.image`: WebP image format support.
- `tensorflow_io.libsvm`: LIBSVM file format support.
- `tensorflow_io.video`: Video file support with FFmpeg.

## Installation

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