Popular GitHub Repositories for Profile Switcher

Profile-Based Long-Term Memory for AI Applications

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

Generate a Breakout game SVG from a GitHub user's contributions graph

CLI MCP package manager & registry for all platforms and all clients. Search & configure MCP servers. Advanced Router & Profile features.

Compilation of high-profile real-world examples of failed machine learning projects

no-extension multi-browser real time bookmark manager

iMA Menu - Do File Transfers, Remove Background, Video/Image edit, Draw over apps, Youtube & X downloader, Resize, Video to Gif, MP4 to MP3, Clean Temp... and more from your CONTEXT MENU.

个人介绍，导航页、笔记、短链、文件分享，私有化部署。Profile、Note、ShortURL、FileSharing…… with self-host

Profile and monitor your ML data pipeline end-to-end

Claude Code Switch (CCS) - Instant profile switching for Claude CLI. Switch between Claude Sonnet and GLM models with one command. Perfect for managing rate limits and optimizing AI costs.

A Chatbot for ordering a pizza that demonstrates how using the IBM Watson Assistant Slots feature, one can fill out an order, form, or profile.

? A collection of generative AI open-source repositories that are actively being developed. If you are looking to build a solid profile and land interview, find the repo you like and start shipping.

A profile readme (60+ stars) with awesome workflows and ideas. Fork this and make your own!

isearch is an OSINT tool on Instagram. Offers a face recognition reverse image search on Instagram profile feed photos.

knowledge graph recommendation

cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets

Pre-training and Lifelong learning for User Embedding and Recommender System

Instagram Data Scraper analyze profile

Tool for visual profiling Core ML models, compatible with both package and compiled versions, including reasons for unsupported operations on the Neural Engine

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.