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xswang's Projects

awesome-llm-for-recsys icon awesome-llm-for-recsys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

bosen icon bosen

Parallel ML System - Bosen project

chatglm-6b icon chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

chatglm-finetuning icon chatglm-finetuning

基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型,进行下游具体任务微调,涉及Freeze、Lora、P-tuning、全参微调等

codebase icon codebase

my code base. some codes writed when I was young~ for example, E&E、RBM、AUC

dataflow icon dataflow

A Distribute DL system. Welcome to join in this project!

deeprec icon deeprec

DeepRec is a recommendation engine based on TensorFlow.

ffm_mpi icon ffm_mpi

LR、FM model solved by ftrl and sgd parallel on MPI

firefly icon firefly

Firefly: 大模型训练工具,支持训练Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

llm-action icon llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

llm-tuning icon llm-tuning

Tuning LLMs with no tears💦, sharing LLM-tools with love❤️.

onerec icon onerec

在常规推荐系统算法和系统双优化的范式下,一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合,提出了OneRec算法,希望通过平台或外部各种各样的信息来进行知识集成,打破数据孤岛,极大扩充推荐的“Extra World Knowledge”。 已实践的算法包括行为数据,内容描述,社交信息,知识图谱等。在OneRec,每种信息和整体算法的集成是可插拔的,这样的话一方面方便大家在自己的平台数据下灵活组合各种信息,另一方面方便开源共建,大家可以在上边集成自己的各种算法。今天分享的都是之前在线上验证过效果的工作,相关代码和论文已经开源在:。欢迎大家开源共建。

ps-lite icon ps-lite

A lightweight parameter server interface

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

scalellm icon scalellm

A high-performance inference system for large language models, designed for production environments.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

x-deeplearning icon x-deeplearning

An industrial deep learning framework for high-dimension sparse data

xflow icon xflow

Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.

xlearn icon xlearn

High Performance, Easy-to-use, and Scalable Machine Learning Package

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