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Running large language models on a single GPU for throughput-oriented scenarios.
Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline model in a user-friendly interface.
A PyTorch native library for large model training
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
A curated list of the latest advancements, papers, tools, and datasets for **Multimodal Retrieval-Augmented Generation (RAG)**. Multimodal RAG integrates information retrieval and generation across…
A pattern for an always on AI Assistant powered by Deepseek-V3, RealtimeSTT, and Typer for engineering
The road to hack SysML and become an system expert
Minimalistic 4D-parallelism distributed training framework for education purpose
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A PyTorch Library for Multi-Task Learning
PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker/Zotero
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).
TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark
This is a repo with links to everything you'd ever want to learn about data engineering
Providing end-to-end automation support for AIOps model development in microservice scenarios
A reading list on LLM based Synthetic Data Generation 🔥
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
[ASE'24][WWW'25] RCAEval: A Benchmark for Root Cause Analysis. https://doi.org/10.1145/3691620.3695065
[NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
A list of awesome academic researches and industrial materials about Large Language Model (LLM) and Artificial Intelligence for IT Operations (AIOps).
Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".