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Starred repositories
Algorithms for explaining machine learning models
Code for "High-Precision Model-Agnostic Explanations" paper
Schedule and Syllabus for Human-Centered Machine learning.
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
data on european football player transfers
Course repository for the Spring COMP790 course "Deep Learning" at UNC
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Understanding and visualizing PyTorch Batching with LSTM
A dataset containing story plots from Wikipedia (books, movies, etc.) and the code for the extractor.
Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how p…
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Introduction to NLP with PyTorch Workshop Project
Distributed Asynchronous Hyperparameter Optimization in Python
A multi-stage neural search engine for the COVID-19 Open Research Dataset
A tool for extracting plain text from Wikipedia dumps
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
A tool for learning vector representations of words and entities from Wikipedia
The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Working with and analyzing Wikipedia Data