Search Results for "data mining project with code"

html-video is part of the nexu-io agent-native design ecosystem for creating motion graphics and video from web technologies. It is connected to a workflow where agents write HTML, CSS, and animation code that can be rendered into deterministic video output. The project is useful for creators and developers who want programmable video generation instead of editing everything manually in a timeline. It fits naturally with local AI coding agents, since the visual output is represented as code...

Project MERN Memories is a full-stack application built as a learning tutorial, using the MERN stack: React on the front end, Node.js and Express on the back end, and MongoDB for data persistence. The app is called “Memories” and allows users to post interesting events from their lives (memories), providing a simple social media–style interface and back-end API to support create, read, update, delete of posts. The repository is tied to a video tutorial series that covers the project from...

The most used, flexible, fast and streaming parser for multipart form data. Supports uploading to serverless environments, AWS S3, Azure, GCP or the filesystem. Used in production. This project is semantically versioned and available as part of the Tidelift Subscription for professional-grade assurances, enhanced support and security. The maintainers of formidable and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the Open Source dependencies you use to build your applications. ...

The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction.

NOTE: the code for this project has migrated to GitHub at https://github.com/axiomatic-systems/Bento4 It is still available through SourceForge for a short time, but please update your links. Bento4 is a Portable C++ Class Library and tools for parsing and creating ISO MP4 (ISO 14496-12, 14496-14 and 14496-15), iTunes, Quicktime, OMA DCF/PDCF, PIFF, DECE, and MPEG-DASH or Smooth Streaming files containing MPEG-4 or other types of media streams.

A simplest video encoder based on FFmpeg. It is based on VC 2010. It is suitable for beginner of FFmpeg. It encodes YUV420P data to H.264 bitstream. It only uses about 100 lines of code. Eacn line of source code is important. New developer of FFmpeg can learn FFmpeg's API through this software. It contains following project: simplest_ffmpeg_video_encoder: Simple Encoder. It uses libavcodec to encode video and uses libavformat to add container format to the video bitstream. ...

Graphene is a real-time dashboard and graphing toolkit built with D3.js and Backbone.js. It was originally designed to sit on top of the Graphite data model and API, enabling teams to quickly build live dashboards that show thousands of datapoints updating over time. The project provides a highly customizable and hackable client-side engine: you define “widgets” such as time series graphs, gauges or labels, hook them to data providers, and the toolkit handles ingestion, rendering and live updates. ...

Java IO Extension is a open source project which extends java IO package by providing a java class library to access IO system in a local area network Developers can easily use IO Extension just like using java IO API to access a remote IO system