AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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Nov 12, 2024 - Python
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scikit-learn
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Open standard for machine learning interoperability
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Open Machine Learning Course
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A unified framework for machine learning with time series
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Fast and Accurate ML in 3 Lines of Code
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Automated Machine Learning with scikit-learn
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An open source python library for automated feature engineering
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Flower: A Friendly Federated AI Framework
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🍊 📊 💡 Orange: Interactive data analysis
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Visual analysis and diagnostic tools to facilitate machine learning model selection.
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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
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Seamlessly integrate LLMs into scikit-learn.
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Hummingbird compiles trained ML models into tensor computation for faster inference.
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Apr 18, 2025 - Python
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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a delightful machine learning tool that allows you to train, test, and use models without writing code
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Apr 8, 2023 - Python
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
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Aug 3, 2024 - Python
High-Performance Symbolic Regression in Python and Julia
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Jun 11, 2025 - Python
Sequential model-based optimization with a `scipy.optimize` interface
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Feb 23, 2024 - Python
Created by David Cournapeau
Released January 05, 2010
Latest release 7 days ago
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