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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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A high-throughput and memory-efficient inference and serving engine for LLMs
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.
A generative speech model for daily dialogue.
一款轻量级、高性能、功能强大的内网穿透代理服务器。支持tcp、udp、socks5、http等几乎所有流量转发,可用来访问内网网站、本地支付接口调试、ssh访问、远程桌面,内网dns解析、内网socks5代理等等……,并带有功能强大的web管理端。a lightweight, high-performance, powerful intranet penetration proxy serv…
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A playbook for systematically maximizing the performance of deep learning models.
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Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
Latex code for making neural networks diagrams
Graph Neural Network Library for PyTorch
Neural Networks: Zero to Hero
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Development repository for the Triton language and compiler
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A collection of resources and papers on Diffusion Models
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Implementation of Denoising Diffusion Probabilistic Model in Pytorch