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langchain

🦜🔗 Build context-aware reasoning applications

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

LLaMA-Factory

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

Langchain-Chatchat

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 Llama) RAG and Agent app with langchain

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

llm-cookbook

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

trl

Train transformer language models with reinforcement learning.

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

DeepSpeedExamples

Example models using DeepSpeed

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Ad-papers

Papers on Computational Advertising

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

so-large-lm

大模型基础: 一文了解大模型基础知识

RecommenderSystem

RL4LMs

A modular RL library to fine-tune language models to human preferences

LibMTL

A PyTorch Library for Multi-Task Learning

llama2-webui

Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.

pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

recommendation_model

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

Recommender-System

推荐系统综述

DeepFM_with_PyTorch

A PyTorch implementation of DeepFM for CTR prediction problem.

mopo

Code for MOPO: Model-based Offline Policy Optimization

ChatGPT_principle_fine-tuning_code_paper

本『ChatGPT资源库(原理/微调/代码/论文)』的初始版本来自July CSDN博客上阅读量高达50万的ChatGPT系列，联合发起人：七月ChatGPT原理课学员，6月初正式对外发布

recome_wan

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。

multi-armed-bandits-for-recommendation-systems

implement basic and contextual MAB algorithms for recommendation system

KDD23_EFIN

Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"

Multi-Armed-Bandit-for-cold-user-in-Recommendation-System