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原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

CTR模型代码和学习笔记总结

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

Easy-to-use pytorch-based framework for RecSys models

A Proximal Policy Optimization Approach to Detect Spoofing in Algorithmic Trading

本项目原是作者的《图像合成技术》的一个课程作业，现已结课，开源出来供同行批评指正。主要内容是从零构建一个基础的参数化的全连接神经网络（不使用人工智能算法库），并使用该网络进行了一个分类实验和一个回归实验。本项目进行了8个版本的神经网络的迭代，每个版本层层推进，适合初学者。每份代码都有非常详细的注释，也体现了较好的面向对象思想，详细情况可阅读ReadMe。

Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️

Basic implementation of FNN and RBF neural networks using tensorflow.

A NumPy-based deep learning library for building neural networks. It features an automatic differentiation engine and supports training architectures like LSTM, CNN, and FNN.

∑ Adaptive Neuro Fuzzy Inference System Implementation.

Neural network implementation from scratch through a Keras-like API in Python

Milwaukee Bucks Game Outcome Prediction using Tensorflow

A privacy-preserving flood forecasting system that leverages Federated Learning to aggregate predictive models across distributed weather stations without sharing raw localized data.

Learning about SNNs, ANNs, and FNNs and other things.

FiNNi is a forwardfeed neural network

A machine learning library coded from scratch with demos.