EvilicLufas

-CampusServiceApp

一款针对大学生校园服务平台的手机应用 App，为大学生提供校园新闻 资讯、校园生活服务、医疗咨询， 记账理财，大学圈等多方面的综合信息服务，包括校园卡服务、失物招领、教务处入口、大学 生社区等。并关联百度地图，对学校周边的位置进行校园化标注；

1inchProtocol

1inch Protocol – fully on-chain DeFi aggregation protocol

3DSceneGraph

The data skeleton from "3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera" http://3dscenegraph.stanford.edu

BS-Nets-Implementation-Pytorch

BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image

DINO-DETR-with-Improved-DeNoising-Anchor-Boxes-

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

FFE_Texas

THU-NeRF-NeuS

Code release for NeuS

THU_3DSSG

THU_CVPR2023-VLSAT

CVPR2023 : VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud

THU_scene_graph_aligner

SGAligner : 3D Scene Alignment with Scene Graphs

EvilicLufas/Cam_Supervisor_Ingram

网络摄像头漏洞扫描工具 | Webcam vulnerability scanning tool

EvilicLufas/ChatGPT-Next-Web

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

EvilicLufas/CVPR_DiffMatte

EvilicLufas/DiffusionNER

Code for the paper "DiffusionNER: Boundary Diffusion for Named Entity Recognition", accepted at ACL 2023.

EvilicLufas/KTH-EnergyPlus

EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.

EvilicLufas/KTH-open-sustainable-technology

A directory and analysis of the open source ecosystem in the areas of climate change, energy, biodiversity and natural resources.

EvilicLufas/KTH_mubes-ubem

Python-based tool for urban building energy modelling (UBEM)

EvilicLufas/TAMU_Efficient-Tuning-LLMs

Easy and Efficient Finetuning of QLoRA LLMs. (Supported LLama, LLama2, bloom, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.

EvilicLufas/TAMU_InternLM

InternLM has open-sourced 7 and 20 billion parameter base models and chat models tailored for practical scenarios and the training system.

EvilicLufas/TAMU_vector-quantize-pytorch

Vector Quantization, in Pytorch

EvilicLufas/THU_Make-It-3D

[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

EvilicLufas/thu_md4all

Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions

EvilicLufas/THU_panoptic-lifting

[CVPR23] Implementation for Panoptic Lifting

EvilicLufas/THU_zero123

Zero-1-to-3: Zero-shot One Image to 3D Object: https://zero123.cs.columbia.edu/

EvilicLufas/Typora_PicGo_Markdown_SMMS_ImageUpload

EvilicLufas/VIPL_attention_mask_control

code for paper "Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models"

EvilicLufas/VIPL_attribue_Label2Label

EvilicLufas/VIPL_attributes_MiVOLO

MiVOLO age & gender transformer neural network

EvilicLufas/VIPL_Collaborative-Diffusion

Collaborative Diffusion (CVPR 2023)

EvilicLufas/VIPL_daam

Diffusion attentive attribution maps for interpreting Stable Diffusion.

EvilicLufas/VIPL_DiAD

Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.

EvilicLufas/VIPL_diffseg

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.

EvilicLufas/VIPL_diffusion_hyperfeatures

Official PyTorch Implementation for Diffusion Hyperfeatures, NeurIPS 2023

EvilicLufas/VIPL_FaceRestoration_dffusion

Official codes of Towards Real-World Blind Face Restoration with Generative Diffusion Prior

EvilicLufas/VIPL_Grounded-Diffusion

Open-vocabulary Object Segmentation with Diffusion Models

EvilicLufas/VIPL_LD-ZNet

EvilicLufas/VIPL_MDT

Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)

EvilicLufas/VIPL_MedSegDiff

Medical Image Segmentation with Diffusion Model

EvilicLufas/VIPL_Neural-Network-Diffusion

We introduce a novel approach for parameter generation, named neural network diffusion (\textbf{p-diff}, p stands for parameter), which employs a standard latent diffusion model to synthesize a new set of parameters

EvilicLufas/VIPL_RDDM

CVPR 2024: Residual Denoising Diffusion Models