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sebastianruder
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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Explore the skillsebastianruder
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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Explore the skillscikit-learn-contrib
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
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Explore the skilljindongwang
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Full featured CSV parser with simple api and tested against large datasets.
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Explore the skillTrusted-AI
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.
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The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
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Fast Python Collaborative Filtering for Implicit Feedback Datasets
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Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
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🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
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🌀 AI-native framework for building data portals. Scaffold a full portal from a brief and load datasets in minutes with agentic skills — any backend (CKAN, GitHub, Frict…
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Explore the skillfbdesignpro
Visualize and compare datasets, target values and associations, with one line of code.
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Explore the skillAI4Finance-Foundation
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
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fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, wh…
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Explore the skillRenumics
Interactively explore unstructured datasets from your dataframe.
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Explore the skillZjh-819
A quick guide (especially) for trending instruction finetuning datasets