Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFI…

Rust grammar tool libraries and binaries

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

基于 Pytorch 实现推荐系统相关的算法

bison / YACC / LEX in JavaScript (LALR(1), SLR(1), etc. lexer/parser generator)

PyTorch implementation of some learning rate schedulers for deep learning researcher.

Tensorflow2.x implementations of CTR（LR、FM、FFM)

LR Parser (LR(0), SLR(1), CLR(1) and LALR(1))

The homework of my 3rd-term

An interactive tool for experimenting with LR(1) grammars

大三上部分代码（编译，数据挖掘，计算机图形学，数据库课设）

Inductance and Resistance meter, Arduino based. Push button input. 3 tests, 4 resistor test ranges. One Inductance test, Analog input display , outputs to serial monitor and OLED. Resistor range is from 0 ohms to 2 Mohms , Inductor range is 80uH to 30,000uH.

Distributed Factorization Machines and LR with ps-lite

Text lexer and parser. Compiler frontend framework.

USTC2020秋季机器学习概论课实验，实现LD，SVM，XGBoost，K-means，LDA-Topic。

A method for assigning separate learning rate schedulers to different parameters group in a model.

机器学习常用算法实战

The implementation of Long-term Recurrent Convolutional Network (LRCN), wide-n-deep NN, LSTM, SVM, LR, RF for drug resistance prediction.

基于demo的改进逻辑回归LR方案

编译原理、语法分析、语义分析、LR、自上而下...