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Algorithmic Trading with Machine Learning.
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Open-source, low-code machine learning library in Python that automates machine learning workflows.
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Pycord is a modern, easy to use, feature-rich, and async ready API wrapper for Discord written in Python
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Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Python interface for converting Penn Treebank trees to Stanford Dependencies.
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A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
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Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).
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A Python library for implementing a Recommender System.
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A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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A Modular Framework for Multi-Modal Tabular Learning.
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Graph Neural Network Library for PyTorch.
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Deep learning framework to train, deploy, and ship AI products Lightning fast.
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Toolbox of models, callbacks, and datasets for AI/ML researchers.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A PyTorch-Based Framework for Deep Learning in Computer Vision.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Benchmarking Large Language Models.