large

A Laravel package to upload large files 上传大文件的Laravel扩展包

Digger is a lightweight download framework that requires only one line of code to complete the file download task

This is a high performance list view for React Native with support for complex layouts using a similar FlatList usage to make easy the replacement. This list implementation for big list rendering on React Native works with a recycler focused on performance and memory usage and so it permits processing thousands items on the list.

A comfortable update solution for .NET-applications.

a picture of big rat

Split large meshes in Unity into smaller submeshes

A .net library to write large Excel files in XLSX format with low memory consumption using streamed write.

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

A framework to empower forecasting using Large Language Models (LLMs)

Convert large amounts of data array to tree fastly

Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.

A pair of tiny foundational models trained in Brazilian Portuguese.🦙🦙

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".

Create a ChatGPT for uploaded pdf using Langchain

SiLLM is a Simultaneous Machine Translation (SiMT) Framework. It utilizes a Large Language model as the translation model and employs a traditional SiMT model for policy-decision to achieve SiMT through collaboration.

Library for displaying large numbers on LCD with I2C using Arduino

Bootstrap 4 grid for high resolution screen (big/large)

LogViewer for very large logfiles and JSON/CSV/XML dumps

My Personal 🌐 website built with JamStack!