Popular GitHub Repositories for Leave

Unofficial PyTorch/?Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Use your favorite machine translation engines without having to leave your favorite editor.

PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" (https://arxiv.org/abs/2404.07143)

A Chrome extension that uses the magic of OpenAI's chat and image models to ensure a seamless ChatGPT-Like experience - all without ever having to leave your favorite website.

Auto chat, leave, join discord server, delete, reaction messages with AI. [100 STARS TO ENABLE AUTO CHAT WITH AI]

Open Paper is a place to upload your paper, highlight, leave comments, take notes, and chat all in one place. Search through your existing corpus of annotated papers.

We present a curated list of awesome Hacktoberfest 2025 repositories. If you enjoyed this resource, please leave a star :star: to support this project! :sparkles:

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

This repository will have all the necessary files for machine learning and deep learning based Banking Churn Prediction ANN model which will analyze tha probablity for a customer to leave the bank services in near future. Deployed on Heroku.

Enhance your creative authoring flow, leave the plumbing to AuthorAI

A TK based graphical user interface for gpt4all. It uses the python bindings. Run LLMs in a very slimmer environment and leave maximum resources for inference

Git AI uses ChatGPT and git hook to generate commit messages based on the staged files. Leave the commit message empty and let Git AI do the work for you!

Customer churn prediction is the process of using machine learning models to identify customers who are likely to leave in the near future.

This is an unofficial Pytorch implementation of the Infini Attention mechanism introduced in the paper : "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention". Note that the official code for the paper has not been released yet. In case of issues, add a PR (add an explanation of the changes made and why so?)

Create the model which will predict the bank customer whether he/she will leave the bank based on the dataset using atrtificial nueral network(Deep Learning).

AI ants that try to find food and when they find, they leave a track so others can find the shortest path.

In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.

The goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn). Also, rank all the customers of the bank, based on their probability of leaving.

Our goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn)

The goal of this project is to build a machine learning model to predict customer churn for Camtel ?, a major telecommunications provider. Customer churn—the rate at which customers leave the service—is a key challenge that directly impacts revenue ? and business stability ?.