🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

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✔（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

The official Pytorch implementation of paper RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation

Code release for NeRF (Neural Radiance Fields)

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

[CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer

[CVPR 2024] Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.