Stars
Bringing BERT into modernity via both architecture changes and scaling
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
📖 Full Stack Practice of the Large Language Model Training @ RLChina 2024
The simplest, fastest repository for training/finetuning medium-sized GPTs.
从0到1构建一个MiniLLM (pretrain+sft+dpo实践中)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Awesome-LLM: a curated list of Large Language Model
Explore the world of Large Language Models (LLMs) with this introductory repository. Learn about LLM architectures, pre-training, fine-tuning techniques, popular models, and their applications. Del…
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用
Natural Language Processing Tutorial for Deep Learning Researchers
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Transformer论文Attention is All You Need的代码中文注释实现,翻译自harvardnlp/annotated-transformer
[CVPR'24] Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
A comprehensive collection of PPG-related resources, including libraries, datasets, tutorials, papers, and more, for researchers and developers in the Photoplethysmography(HR/SpO2/BP) field.
An annotated implementation of the Transformer paper.
Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023
Reading list for research topics in multimodal machine learning
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Tutorials on using the MIMIC Waveform Database
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记