Kolmogorov Arnold Networks

Code release for NeRF (Neural Radiance Fields)

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

A Modular Framework for 3D Gaussian Splatting and Beyond

一个浙江大学本科生的计算机、地理信息科学知识库 包含课程资料 学习笔记 大作业等（ 数据结构与算法、人工智能、地理空间数据库、计算机组成、计算机网络、图形学、编译原理等课程）

Kernel Density Estimation in Python

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

借助Python抓取微博数据，并对抓取的数据进行情绪分析

[ECCV2024] CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians

statistics and classes for exploratory spatial data analysis

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Python based GUI for Satellite Derived Bathymetry processing

爬取新浪微博数据并可视化分析

PySAMOSA is a software framework for processing open ocean and coastal waveforms from SAR satellite altimetry to measure sea surface heights, wave heights and wind speed for the oceans and inland w…

Create a working colab to train RAD-NeRF on your own video.

Satellite Derived Bathymetry with IceSAT-2 LiDAR Data : Case Study in the coast of Thailand - Thepchai Srinoi and Dr.Phisan Santitamnont SV CU

Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR[Earth Vision 2021]

提供一种基于深度学习的光纤传感水声信号识别方法，该方法降低了光纤传感水声信号识别的难度，通过最优聚类模型，将无监督学习方式转化为有监督学习的方式，使识别未知的目标事件信号成为可能；以光纤传感系统自身固有噪声信号分解分量作为训练数据，构建开集识别网络，可用于识别任意不属于系统噪声的目标事件信号，有效提高了模型的泛化能力。

Attempt to replicate the WSAE-LSTM model defined by Bao, Yue, Rao (2017).

Cutting-edge LSTM model harnessing 10,000 days of historical stock market data for precise predictions. Unleash the power of deep learning to forecast market trends with unparalleled accuracy.

Study of the sea level variation using radar altimetry and tide gauges' data.