Sweet Devil's repositories
Attack_classification_models_with_transferability
Attack classification models with transferability, black-box attack; unrestricted adversarial attacks on imagenet, CVPR2021 安全AI挑战者计划第六期：ImageNet无限制对抗攻击 决赛第四名（team name: Advers）
AutoKernel
AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。
bisheng
Bisheng is an open LLM devops platform for next generation AI applications.
datetime233
DateTime233 is a zero-designed DateTime API by flux-style. 重新设计的整套 DateTime API~
dgiot
Open source platform for IoT,30 min Quick Deployment,10M-level device connection,Carrier level Stability;物联网开源平台,30分钟快速部署,千万级承载,电信级稳定性. Zero code for Object model-Rule Engine-Data Channel-Configuration Page; Fully open source, Multi industrial protocols are compatible.物模型-规则引擎-数据通道-组态页面全流程零代码开发、前后端完全开源、多行业工业协议兼容。
FFmpeg-Plus-OpenGL
🔥 OpenGL Filter for FFmpeg: Render video by your shaders(GLSL) | FFmpeg Filter支持OpenGL Shader和LUT 渲染滤镜。
GraphQ_Trans
A Graph Query Language Transpiler
hs_tracker
An automatic Hearthstone tracker for Android
hyphen
Course Full Stack Java developer - Java + JSP + Restful WS + Spring on udemy
GUNDAM
GUNDAM is a data management system that prioritizes data using language models.
LakeSoul
A Table Structure Storage on Data Lakes to Unify Batch and Streaming Data Processing
object-detection
Learning object detection segmentation with a DRL-based feature matching agent
PaddleRec
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise等，包含经典推荐系统数据集criteo 、movielens等
reactuse
Collection of essential React Hooks Utilities.
ssd1306
ssd1306 full function driver
Stable-Texturify
Create textures for 3d models using stable-diffusion and blender
synthetic-data-generator
SDG is a specialized framework designed to generate high-quality structured tabular data.
Understanding-VITS
In this repository, you will learn how code works in VITS(Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech) in Jupyter Notebooks, including normalizing data, training process, inference process, and model's details.
ws2812b
ws2812b full function driver