sufeheisenberg's Projects
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Code and source for paper ``How to Fine-Tune BERT for Text Classification?``
⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~
Reverse engineered ChatGPT API
Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
ChineseSemanticKB,chinese semantic knowledge base, 面向中文处理的12类、百万规模的语义常用词典,包括34万抽象语义库、34万反义语义库、43万同义语义库等,可支持句子扩展、转写、事件抽象与泛化等多种应用场景。
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
2020年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,**类,数学类,人物传记书籍
Tuning LLMs with no tears💦, sharing LLM-tools with love❤️.
Multi-Label Text Classification Based On Bert
Label-Specific Document Representation for Multi-Label Text Classification
Save the upload picture from Macbook Typora
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
The DDL of tenure track CS conference published by SIME SUFE
Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.
A website building repo for sufe CS conf countdown deadlines.
A Library for Advanced Deep Time Series Models.
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
A playbook for systematically maximizing the performance of deep learning models.
Typora pictures bed
A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)