- Brisbane
- https://mayuanyang.github.io/
Stars
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🔊 Text-Prompted Generative Audio Model
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Examples and guides for using the Gemini API
This repository contains the source code for the paper First Order Motion Model for Image Animation
Foundational Models for State-of-the-Art Speech and Text Translation
A collection of pre-trained, state-of-the-art models in the ONNX format
MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks
A series of large language models trained from scratch by developers @01-ai
⚡ TabPFN: Foundation Model for Tabular Data ⚡
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
A small package to create visualizations of PyTorch execution graphs
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…
FinQwen: 致力于构建一个开放、稳定、高质量的金融大模型项目,基于大模型搭建金融场景智能问答系统,利用开源开放来促进「AI+金融」。
Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm