A efficient and effective few-shot NL2SQL method on GPT-4.

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

Supercharge Your LLM Application Evaluations 🚀

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Just the facts -- web page content extraction

Streamlit Component, for a Chatbot UI

ATEC蚂蚁开发者大赛-支付风险识别-Rank7

Implementation of K-Harmonic Mean for application in Pyspark

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Factorization Machine models in PyTorch

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

CTR prediction model based on spark(LR, GBDT, DNN)

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

Knee point detection in Python 📈

Virtual-Taobao simulators with OpenAI Gym interface

Papers on Computational Advertising

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

A Deep Learning Recommender System

Collaborative Filter by Graph Convolutional Network.

Python implementation of Sparse Subspace Clustering algorithm.

贪吃蛇AI

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

An implementation of isolation forest algorithm to detect anomalies

Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)

K-means function as a user-defined window function in PostgreSQL

Play with neural networks!

A tiny library for large graphs