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scikit-learn-contrib
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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A self-learning system for Claude Code that captures corrections, positive feedback, and preferences — then syncs them to CLAUDE.md and AGENTS.md.
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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
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docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
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A python library for self-supervised learning on images.
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A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific an…
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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
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This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our…
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💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbo…
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A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
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Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.