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aes

C++ AES implementation

bert

TensorFlow code and pre-trained models for BERT

bert-pytorch

Google AI 2018 BERT pytorch implementation

chatglm_finetuning

chatglm 6b finetuning and alpaca finetuning

chatroom

互联网实时聊天系统 (Spring + Netty + Websocket)

chinese-medical-dialogue-data

Chinese medical dialogue data 中文医疗对话数据集

communities

Library of community detection algorithms and visualization tools

data-finance-cup

2019厦门国际银行“数创金融杯”数据建模大赛 复赛第六

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepctr-1

doctorglm

基于ChatGLM-6B的中文问诊模型

ebaipy

饿百零售/饿百外卖/饿了么精选 python SDK

entity-embedding-rossmann

entity2rec

entity2rec generates item recommendation using property-specific knowledge graph embeddings

entityembedding-working_example

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

github-slideshow

A robot powered training repository :robot:

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphembedding

Implementation and experiments of graph embedding algorithms.

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

huatuo-llama-med-chinese

Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

java-cpp-example

Example of using C++ classes from Java. Showcases SWIG, JNA and JNI

keras-tcn

Keras Temporal Convolutional Network.

lightgcn

mlg_cs224w_project

Machine Learning with Graphs (CS224W) project.

nanohttpd

Tiny, easily embeddable HTTP server in Java.

node2vec

Implementation of the node2vec algorithm.

node2vecgpu

This is an implementation of node2vec with tensorflow. It can deal with graphs with massive number of nodes or densely connected graphs faster.

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch

recommend-system-tf2.0

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！