| georgian-io/LLM-Finetuning-Hub |
556 |
|
0 |
0 |
about 2 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| Repository that contains LLM fine-tuning and deployment scripts along with our research findings. |
| SKT-AI/KoBART |
320 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
other |
Python |
| Korean BART |
| Shivanandroy/simpleT5 |
305 |
|
0 |
0 |
almost 3 years ago |
7 |
February 15, 2022 |
31 |
mit |
Python |
| simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models. |
| jsksxs360/How-to-use-Transformers |
271 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
apache-2.0 |
Python |
| Transformers 库快速入门教程 |
| pochih/SA-papers |
108 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
|
| 📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢 |
| fingeredman/teanaps |
92 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
apache-2.0 |
Jupyter Notebook |
| 자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다. |
| ayushoriginal/Ngram-Graphs |
37 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
apache-2.0 |
Java |
| :mortar_board:RESEARCH [NLP] Analysis of N-gram Graphs and their applications in the domain of Text Classification and Extraction based Summarization |
| dipanjanS/nlp_workshop_odsc_europe20 |
36 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models. |
| jrzaurin/nlp-stuff |
27 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A bit of everything about text and nlp [IN PROGRESS] |
| microsoft/verseagility |
21 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production. |
