Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT,Cross Encoder

本项目旨在分享大模型相关技术原理以及实战经验。

Use PEFT or Full-parameter to fine-tuning LLMs or MLLMs

Source code for the book "Math for Deep Learning" (No Starch Press)

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing

吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版，视频地址：https://www.bilibili.com/video/BV1Bo4y1A7FU

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

cuda编程示例

An Open Source Machine Learning Framework for Everyone

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

Jupyter notebooks for the Natural Language Processing with Transformers book

An Open-Source Framework for Prompt-Learning.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

FewCLUE 小样本学习测评基准，中文版

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classi…

中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

白板推导系列课程笔记 初版

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

吴恩达老师的机器学习课程个人笔记

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Python version of algorithm-pattern

Sample codes for my CUDA programming book

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

keras implement of transformers for humans

关于书籍CUDA Programming使用了pycuda模块的Python版本的示例代码

自然语言处理学习笔记：机器学习及深度学习原理和示例，基于 Tensorflow 和 PyTorch 框架，Transformer、BERT、ALBERT等最新预训练模型及源代码详解，及基于预训练模型进行各种自然语言处理任务。模型部署