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CTR模型代码和学习笔记总结

基于 Pytorch 实现推荐系统相关的算法

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.

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

VMD-MFRFNN

This repository includes the source code of the DL-based symbol-by-symbol and frame-by-frame channel estimators proposed in "A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.

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

NLP Section of the Data Science course, NRU HSE

A multilayer perceptron (for simple image classification), accelerated with CUDA

A Web Chat bot to determine the prakriti of an individual.

A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).

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.

A machine learning trigger bot for Quake3 Arena & Quake Live.

 Machine Learning tool for handwritten digit recognition powered by a custom dynamic feed forward neural network written completely from scratch in C++ and CUDA

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.

Feedforward neural network P.o.C.

A modern C++ neural network library built from scratch — modular, fast, and designed for experimentation, visualization, and learning

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

🧬 Flappy Bird neural network evolution demo.

Creating a feed forward neural network from scratch and testing it

🦠| Sentiment analysis on tweets about covid-19 vaccinations using Soft-max Regression, FNN, RNN and BERT-Base-uncased.

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

This project is about examining whether or not a neural network with zero initialization can be trained.

OCR technology to predict labels from handwritten text images.

Design and train two different neural network models for image the inpainting task

A general-purpose, lightweight feed-forward neural network library for C++