Popular GitHub Repositories for Material Components

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

? Web File Browser

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

NVIDIA? TensorRT? is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in performant way.

Typescript/React Library for AI Chat??

AI generated UI components

A library of reinforcement learning components and agents

UI for your AI. Open Source Tailwind components tailored for your GPT, generative AI, and LLM projects.

[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Core building blocks for AI apps. High-quality, accessible, and customizable components for AI interfaces.

All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.

Build and iterate on your UI 10x faster with AI - right from your own IDE ??

? Landing page UI components for React & Next.js, built on top of TailwindCSS

Tutorials and training material for the H2O Machine Learning Platform

? Lobe UI - an open-source UI component library for building AIGC web apps

Generate React and Tailwind components using AI

Code and other material for the book "Deep Learning and the Game of Go"

Perception and AI components for autonomous mobile robotics.