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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。

Basic implementation of FNN and RBF neural networks using tensorflow.

∑ Adaptive Neuro Fuzzy Inference System Implementation in Python.

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

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

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

Milwaukee Bucks Game Outcome Prediction using Tensorflow

A machine learning library coded from scratch with demos.

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

FiNNi is a forwardfeed neural network