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These projects were analysed and named tensorflow_cookbook among their alternatives. The relationship is not symmetric — how tensorflow_cookbook rates them is a separate judgement, made when tensorflow_cookbook is analysed in its own right.
calls tensorflow_cookbook “Choose for a TensorFlow cookbook of practical recipes instead of NumPy implementations.”
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
calls tensorflow_cookbook “Choose it for a recipe-style TensorFlow cookbook covering many practical tasks.”
Build your neural network easy and fast, 莫烦Python中文教学
calls tensorflow_cookbook “TF1-era recipe code for TensorFlow Machine Learning Cookbook; choose only if you follow that outdated cookbook.”
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
calls tensorflow_cookbook “TensorFlow-specific cookbook code, narrower and unmaintained.”
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
calls tensorflow_cookbook “Use for a practical, recipe-style TensorFlow cookbook covering many tasks, though unmaintained.”
:satellite: Simple and ready-to-use tutorials for TensorFlow
calls tensorflow_cookbook “When you want code recipes from the TensorFlow Machine Learning Cookbook, but it's stale (2.3 years since last push).”
A collection of machine learning examples and tutorials.