可运行的Claude Code源码

Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your pho…

YApi 是一个可本地部署的、打通前后端及QA的、可视化的接口管理平台

YApi可视化接口管理平台 qsso 登录插件

yapi自定义导入swagger数据

网易会议，是基于网易云信自主研发的新一代云信音视频SDK（G2）提供的视频会议组件化产品，支持直接下载使用，也支持基于SDK将网易会议以组件的方式集成到自己的应用中。本项目提供网易会议产品手册、开发文档、示例项目等相关内容。

低延时直播（Low-Latency Streaming，LLS）是网易云信推出的低延时、强同步、高质量的直播产品。低延时直播产品基于云信 WE-CAN 全球智能路由网络，为开发者提供毫秒级延时、多平台同步、高可靠高并发的直播服务。 集成网易云信播放器 SDK/NERTD 插件，实现毫秒级延时、稳定流畅的高质量直播场景。

Camellia provide easy-to-use server toolkits, such as: redis proxy、delay queue、id gen、hot key and more

👁️ (s)AINT is a Spyware Generator for Windows systems written in Java. [Discontinued]

A pytorch implement of "Application of Deep Self-Attention in Knowledge Tracing"

SAINT PyTorch implementation

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing -Paper Implementation on "Riiid! Answer Correctness Prediction", Kaggle Competition

Implementation of [SAINT+: Integrating Temporal Features for EdNet Correctness Prediction](https://arxiv.org/abs/2010.12042)

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

Source code and data sets for Going Deeper with Deep Knowledge Tracing (EDM-2016)

PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.

Spring官方教程【中文版】，最好的入门指南！

Spring Cloud基础教程，持续连载更新中

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

Crack LeetCode, not only how, but also why.

Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

Model-Agnostic Adaptive Testing

A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Dual Discriminator Generative Adversarial Nets

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.