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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现（大量代码借鉴于其他开源项目，原先是自己玩的，后来干脆也开源出来）
| Date | Stars |
|---|---|
| 2026-07-24 | 294 |
| 2026-07-25 | 294 |
| 2026-07-28 | 294 |
| 2026-07-30 | 294 |
| 2026-08-06 | 294 |
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# Kevinpro-NLP-Demo **Some Simple implement of Fun NLP algorithm in Pytorch. updating and maintaining** **If you have any question, please comment in Issue** **If project helps you, welcome Star~ (Please Dont Just Fork without Star (´･ω･`) ）** **Attention: The part of code in this repository may origin from other open source materials, just for my own interest and experiment. May contain bugs and references to other people's code.** [中文版本README](https://github.com/Ricardokevins/Kevinpro-NLP-demo/blob/main/Chinese.md) # The main content you can go into each project folder for more details in folder's readme.md inside, 1. **Text Classification Based on many Models (BiLSTM,Transformer) [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/TextClassification)** 2. **Summary Generation (Pointer Generator NetWork) [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/PGNSum)** 3. **Dialogue Translation (Seq2Seq) to build your own DialogueBot~~ [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/ChatBotEnglish)** 4. **Use GNN in Text Classification [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/GNN)** 5. **Transformer Mask Language Model Pretraining [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/Pretrain)** 6. **GPT for Text Generation and GPT for math problem [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/GPT)[Source Repo](https://github.com/karpathy/minGPT)** 7. **Adversarial training (FGM) [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/blob/main/TextClassification/Attack.py)** 8. **Very Simple and quick Use/Deploy of Seq2Seq-Transformer. Including Several Eamples(Denoise Pretrain, Medical-QuestionAnswering [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/Transformer)** 9. **Practical use of Pytorch_Lighting [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/blob/main/TextClassification/LightingMain.py)** 10. **AMP and Fp16 training for Pytorch [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/blob/main/VAEGenerator/transformerBased.py)** 11. **Usefully Visualize Toolkit for Attention Map(or Other weighted Matrix [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/Visualize)** 12. **Diffusion models implement and application on Fashion MNIST [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/Diffusion)** 13. **Simple Taste of Stable Learning (Building) [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/StableLearning)** 14. **Simple Taste of Meta Learning (Building) [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/MetaLearning)** 15. **Simple Demo of Large Langauge model inference [go here](https://github.com/Ricardokevins/Kevinpro-NLP-demo/tree/main/LLM)** My other open source NLP projects 1. **BERT in Relation Extraction**：[Ricardokevins/Bert-In-Relation-Extraction: 使用Bert完成实体之间关系抽取 (github.com)](https://github.com/Ricardokevins/Bert-In-Relation-Extraction) 2. **Text-matching**：[Ricardokevins/Text_Matching: NLP2020中兴捧月句子相似度匹配 (github.com)](https://github.com/Ricardokevins/Text_Matching) 3. **Transformer implement and useful NLP toolkit**：[Ricardokevins/EasyTransformer: Quick start with strong baseline of Bert and Transformer without pretrain (github.com)](https://github.com/Ricardokevins/EasyTransformer) # What's New ~~ ## 2023.3.27 1. Update simple demo about inference process of Large Language model. Will Update more in the future. ## 2022.8.31 1. Update for Diffusion Model. We adopt the code from [tutorial](https://huggingface.co/blog/annotated-diffusion) And made some necessary changes to the code to make it work locally. The practical training model and inference results can be found in the Diffusion/Result2 folder. ## 2022.3.25 1. Thanks to [@rattlesnakey](https://github.com/rattlesnakey)'s [Issue(more discussion detail here)](https://gith
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:918539a78b7466eb, topic:nlp, topic:natural-language-processing, topic:text-classification