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Peking University
- Beijing
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18:43
(UTC -12:00)
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My learning notes/codes for ML SYS.
Fully open reproduction of DeepSeek-R1
Learning material for CMU10-714: Deep Learning System
Machine Learning Engineering Open Book
Pytorch implementation of cnn network
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Writing AI Conference Papers: A Handbook for Beginners
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieval Results in RAG Systems (WWW 2025)
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.
Experiments for our CLEAR benchmark of unlearning methods in a multimodal setup
📖A curated list of Awesome LLM/VLM Inference Papers with codes: WINT8/4, Flash-Attention, Paged-Attention, Parallelism, etc. 🎉🎉
A high-throughput and memory-efficient inference and serving engine for LLMs
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Aligning LMMs with Factually Augmented RLHF
modern AI for beginners