Numpy Collection

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🔮Psychic

★★★★★

“Tensors and Dynamic neural networks in Python with strong GPU acceleration”

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🔮Psychic

★★★★

“The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw”

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📦Normal

★★★★

“Python Data Science Handbook: full text in Jupyter Notebooks”

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⚡Electric

★★★★

“Visualizer for neural network, deep learning and machine learning models”

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🔮Psychic

★★★★

“The fundamental package for scientific computing with Python.”

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🔮Psychic

★★★★

“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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🔮Psychic

★★★★

“🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools”

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🔮Psychic

★★★

“阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构”

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🔮Psychic

★★★

“A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support”

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📦Normal

★★★

“Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5”

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🔮Psychic

★★★

“100 numpy exercises (with solutions)”

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🔮Psychic

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“Convert Machine Learning Code Between Frameworks”

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🔮Psychic

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“Parallel computing with task scheduling”

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📦Normal

★★★

“人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域”

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🔮Psychic

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“机器学习相关教程”

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🔮Psychic

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“An open access book on scientific visualization using python and matplotlib”

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🔮Psychic

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“NumPy aware dynamic Python compiler using LLVM”

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🔮Psychic

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“NumPy & SciPy for GPU”