nlp-tutorial
tf-transformers
nlp-tutorial | tf-transformers | |
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1 | 5 | |
13,712 | 84 | |
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0.0 | 1.7 | |
2 months ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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nlp-tutorial
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?
nlp_course - YSDA course in Natural Language Processing
medspacy - Library for clinical NLP with spaCy.
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
flax - Flax is a neural network library for JAX that is designed for flexibility.
awesome-nlp - :book: A curated list of resources dedicated to Natural Language Processing (NLP)
MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement
nlp-recipes - Natural Language Processing Best Practices & Examples
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
BERT-for-Mobile - Compares the DistilBERT and MobileBERT architectures for mobile deployments.
TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model