machine-learning

mindspore implementation of transformers

This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.

A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.

AI-ML Companion: an interactive platform to learn AI & ML by watching it work - 22 tracks, 300+ modules, live visualizations - plus 10 end-to-end portfolio projects from classical ML to production LLM & multi-agent systems.

Free open source disk cleaner for developers. Clean Hugging Face, Ollama, npm, pip, conda, Docker caches, app leftovers, and junk files on macOS and Windows. Built with Tauri.

Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"

A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)

EmbodiedAgents is a fully-loaded ROS2 based framework for creating interactive physical agents that can understand, remember, and act upon contextual information from their environment.

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

A curated, hands-on library of notebooks, demos, and resources for AI/ML, Deep Learning, Generative AI, AI-Agents, fine-tuning, and modern tooling.

Generate Cartoon Images using Generative Adversarial Network

Generating and validating natural-language explanations for the brain.

A Unity package to run pretrained diffusion models with Unity Sentis

WebView Application Google AI Studio with Additional Functionality

A native macOS lab for teaching tiny language models to think — build the architecture, train the weights, and watch a small LLM emerge from scratch, locally on Apple Silicon with custom data, tokenizers, checkpoints, and MLX acceleration.

Run transformers (incl. LLMs) on the Apple Neural Engine.

A practical lab for exploring Apple's Core AI framework, model assets, specialization, and on-device inference.

This repo provides Generative AI and AI/ML code samples, blueprints (end-to-end solutions) and proof of concepts oriented to the LATAM market

Zero administration inference with AWS Lambda for 🤗

Deploy, serve, and run a Hugging Face model on a Raspberry Pi with just a few lines of code