《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

The official implementation of SAGS (Segment Anything in 3D Gaussians)

Writing AI Conference Papers: A Handbook for Beginners

本人的科研经验

CUDA accelerated rasterization of gaussian splatting

3D高斯论文，持续更新，欢迎交流讨论。

[ICML 2024] 3D-VLA: A 3D Vision-Language-Action Generative World Model

[NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation

[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…

ICRA2024 Paper List

Open-Sora: Democratizing Efficient Video Production for All

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

《Nature》&《Science》发表的AI相关文章

Ekstra Bladet Recommender System repository for benchmarking the EBNeRD dataset.

Toy Gaussian Splatting visualization in Unity

Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Official implementation for paper "LightViT: Towards Light-Weight Convolution-Free Vision Transformers"

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"

Huggingface compatible implementation of RetNet (Retentive Networks, https://arxiv.org/pdf/2307.08621.pdf) including parallel, recurrent, and chunkwise forward.

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

Algorithm course at UCAS

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO