# YBIGTA/DeepNLP-Study

<https://repo.masters-masters.com/en/repos/YBIGTA/DeepNLP-Study>

[Home](https://repo.masters-masters.com/en) › [YBIGTA](https://repo.masters-masters.com/en/owners/YBIGTA) › [DeepNLP-Study](https://repo.masters-masters.com/en/repos/YBIGTA/DeepNLP-Study)

YBIGTA/DeepNLP-Study has 135 stars on GitHub. Its RepoMasters card: Prototype tier. 딥러닝 자연어처리 스터디의 논문 구현 코드 및 스터디 자료 모음 공간입니다. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [YBIGTA](https://repo.masters-masters.com/en/owners/YBIGTA) |
| Stars | 135 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [YBIGTA/DeepNLP-Study](https://github.com/YBIGTA/DeepNLP-Study) |

## Repository

딥러닝 자연어처리 스터디의 논문 구현 코드 및 스터디 자료 모음 공간입니다.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by YBIGTA

- [YBIGTA/pytorch-hair-segmentation · ★ 480 · Python · Alpha](https://repo.masters-masters.com/en/repos/YBIGTA/pytorch-hair-segmentation)
- [YBIGTA/Deep\_learning · ★ 107 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/YBIGTA/Deep_learning)

## Nearby in Python

- [Coding-Doctor-Omar/reddrix · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/Coding-Doctor-Omar/reddrix)
- [actvero/actvero · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/actvero/actvero)
- [aicodeking/deepseek-stack · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/aicodeking/deepseek-stack)
- [simonw/optfunc · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/simonw/optfunc)
- [alexdej/puzpy · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/alexdej/puzpy)
- [justquick/python-varnish · ★ 135 · Python · Prototype](https://repo.masters-masters.com/en/repos/justquick/python-varnish)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.