Stars
Robust and fast topic models with sentence-transformers.
A Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024)
TODS: An Automated Time-series Outlier Detection System
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering
Free universal database tool and SQL client
Real-time aircraft localization prediction based on crowdsourced air traffic control communication data (ADS-B)
A toolbox for processing and analysing air traffic data
Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at diffe…
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
xinput reimplementation compatibile with DirectInput controllers
[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
Resource_Monitor is a GNOME Shell extension that Monitor the use of system resources like cpu, ram, disk, network and display them in GNOME Shell top bar.
Fit interpretable models. Explain blackbox machine learning.
🌳 probably the best abstract model/admin for your tree based stuff.
🧊 convert your dynamic django site to a static one with one line of code.
Distributed web crawler admin platform for spiders management regardless of languages and frameworks. 分布式爬虫管理平台，支持任何语言和框架
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Toolkit for graph-relational data across space and time
A fast image processing library with low memory needs.
Powerful, open-source AI tools for digital pathology.
Beautiful visualizations of how language differs among document types.
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.