a cross-platform image super-resolution tool

ML-supported lo-fi music generator

🎨 Ready-to-use DeepSeek-OCR Web UI | Modern Interface | 7 Recognition Modes | Batch Processing | Real-time Logging | Fully Responsive

PyTea: PyTorch Tensor shape error analyzer

The fastest way to build and start training your own LLM. CLI tool that scaffolds production-ready PyTorch training projects in seconds. Like create-next-app but for language models.

A friendly community offering free AI education.

Visualization tool for Graph Neural Networks

Moved to https://github.com/labmlai/labml/tree/master/app

Crater is a cloud-native AI training & inference platform.

Web-based real-time object detection for YOLO model.

Tutorial on building and deploying a Mobile Deep Learning Classifier for food

A Full Stack Variant Effect Predictor leveraging the Evo2 LLM for Single Nucleotide Variant(SNV) pathogenicity analysis, powered by a Modal‑deployed FastAPI GPU backend and a Next.js + Shadcn UI frontend

🤯 语言恐怖谷：一个纯前端实现的无限长诗生成器

🦴 Automated Cobb Angle Measurement on Anterior-Posterior Spine X-Rays using Multi-Instance Keypoint Detection with Keypoint RCNN Thesis Package

The Automated Legal Document Analysis Platform is a powerful web application that automates the laborious process of analyzing legal documents. By leveraging cutting-edge technologies such as Next.js, NLP, and machine learning models, our platform extracts relevant information and identifies potential risks from legal documents.

Web Application where people new to Deep Learning can input a dataset and toy around with basic Pytorch modules without writing any code

A vscode extension to quickly handle print operations ,like print variable value, variable attribute, funciton of variable etc by using shortcuts

Visual tool for building neural networks with PyTorch, and generating code in Python in order to train and test them.

Visualize PyTorch tensors from VS Code debugger

Madlab is an advanced AI development studio designed to streamline the process of dataset management, model training, and evaluation. It combines a robust Node.js/Express backend with a powerful Python-based training engine and a modern React frontend.