C++ Crash Course

🎆Interactive Online Platform that Visualizes Algorithms from Code

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Logic gates are implemented using memristor model: Orcad Capture (Pspice)

CPU Temperature plugin for Collectd. Works out of the box on the Raspberry Pi.

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

 A curated list of awesome applications, softwares, tools and shiny things for macOS.

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

Federated Dynamic Sparse Training

Documentation for GitHub Copilot

Code for reproducing experiments performed for Accoridon

The implementation for MLSys 2021 paper: "Pufferfish: Communication-efficient Models At No Extra Cost"

Ongoing research training transformer models at scale

PyTorch extensions for high performance and large scale training.

NUDT硕士博士毕业论文latex模板

ddl-benchmarks: Benchmarks for Distributed Deep Learning

MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning

Layer-wise Sparsification of Distributed Deep Learning

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Sample codes for my CUDA programming book

Model analyzer in PyTorch

SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847

Scripts to work with LMDB + PyTorch for Imagenet training

Sampled Softmax Implementation for PyTorch

Accuracy 77%. Large batch deep learning optimizer LARS for ImageNet with PyTorch and ResNet, using Horovod for distribution. Optional accumulated gradient and NVIDIA DALI dataloader.

A LARS implementation in PyTorch