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(Front Plant Sci'20) TasselNetv2+: A Fast Implementation for High-Throughput Plant Counting from High-Resolution RGB Imagery
PointMamba: A Simple State Space Model for Point Cloud Analysis
(ECCV'22) FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
Build your neural network easy and fast, 莫烦Python中文教学
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,850+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!