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Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
Code for Machine Learning for Algorithmic Trading, 2nd edition.
An implementation of a deep learning recommendation model (DLRM)
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
A complete computer science study plan to become a software engineer.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A Flexible and Powerful Parameter Server for large-scale machine learning
An industrial deep learning framework for high-dimension sparse data
💯 Curated coding interview preparation materials for busy software engineers
deeplearning.ai , By Andrew Ng, All video link
A complete daily plan for studying to become a machine learning engineer.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Models and examples built with TensorFlow
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Protocol Buffers - Google's data interchange format