Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Datasets, Transforms and Models specific to Computer Vision
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Open source annotation tool for machine learning practitioners.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Visualize and compare datasets, target values and associations, with one line of code.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
What's in your data? Extract schema, statistics and entities from datasets
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection