Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing

Fit interpretable models. Explain blackbox machine learning.

Codes for the paper: Continual Learning for Text Classification with Information Disentanglement Based Regularization

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Examples of inference and fine-tuning T5, GPT-2 and ruGPT-3 models

中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…

Detoxified LM based on PPLM (Course project)

中文任务基准测评 datasets, baselines, pre-trained models, corpus and leaderboard

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

Multiple-Instance Support Vector Machines

Awesome Knowledge Distillation

All Algorithms implemented in Python

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

500 Lines or Less

🚂 12306 购票助手，支持集群，多账号，多任务购票以及 Web 页面管理

《统计学习方法》的代码实现

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Solve LeetCode problems in VS Code

Effective Java（第3版）各章节的中英文学习参考（进行中）

Natural Language Processing Tutorial for Deep Learning Researchers

Pre-trained ELMo Representations for Many Languages

Dynamic Meta-Embeddings for Improved Sentence Representations

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

MatchZoo is a toolkit for text matching. It was developed to facilitate the designing, comparing, and sharing of deep text matching models.

Embedding Quantization (Compress Word Embeddings)

A best practice for tensorflow project template architecture.