Gather-Deployment
tf-transformers
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Gather-Deployment | tf-transformers | |
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1 | 5 | |
350 | 84 | |
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4.0 | 1.7 | |
9 months ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Gather-Deployment
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Working with pyflink and parquet
Able to run parquet in pyflink, https://github.com/huseinzol05/Gather-Deployment/tree/master/apache-cluster/5.flink-jupyter
tf-transformers
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Tensorflow-Transformers 2.0 ( for NLP, CV, Audio )
Code : GitHub - legacyai/tf-transformers: State of the art faster Natural Language Processing in Tensorflow 2.0 . 1 Website : https://legacyai.github.io/tf-transformers 1
- [P] Production Ready NLP Deep learning tutorials on tensorflow 2.0. tf-transformers
- Do we really need to Dstill Language Models? Joint loss is all we need - Albert-Joint .
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tf-transformers : State of the art faster NLP in Tensorflow 2.0 . 80 % faster to existing TF based libraries.
Faster Auto Regressive Decoding using Tensorflow2. Faster than PyTorch in most experiments (V100 GPU). 80% faster compared to existing TF based libraries (relative difference) Refer benchmark code.
- [D] Why is tensorflow so hated on and pytorch is the cool kids framework?
What are some alternatives?
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TFServing-Demos - TF Serving demos
MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement
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reddit-streaming - streaming eight subreddits from reddit api using kafka producer & spark structured streaming.
BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.
gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.