Wu Shuhan's starred repositories
Microsoft-Activation-Scripts
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
RuoYi-Cloud
:tada: (RuoYi)官方仓库 基于Spring Boot、Spring Cloud & Alibaba的分布式微服务架构权限管理系统
awesome-resume
Resume,Resume Templates,程序员简历例句,简历模版,
Programmer-look-at-China
介绍**各二线以上城市的互联网环境以及生活成本
leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
JavaFamily
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
chatgpt-web
使用 express 和 vue3 搭建的 ChartGPT 演示网页
Awesome-unet-like-transformers
Awesome UNet with Transformer
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Teacher-free-Knowledge-Distillation
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
spring-boot-demo
🚀一个用来深入学习并实战 Spring Boot 的项目。
hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
LSTM-Load-Forecasting
Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.
TimeSeries_Predict
客流量时间序列预测模型
DeepLearningForTSF
深度学习以进行时间序列预测