MSJeinlong

LLM-Finetune

大语言模型微调，Qwen2、GLM4指令微调

Awesome-Chinese-LLM

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

baby-llama2-chinese

用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

Firefly

Firefly: 大模型训练工具，支持训练Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

ChatLM-mini-Chinese

中文对话0.2B小模型（ChatLM-Chinese-0.2B），开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调，给出三元组信息抽取微调示例。

PandaLM

Awesome-AIGC-Tutorials

Curated tutorials and resources for Large Language Models, AI Painting, and more.

KDDCup2022-WPF

3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting

KDDCUP2022

[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022

Spatiotemporal-Attention-Networks

Spatiotemporal Attention Networks for Wind Power Forecasting

wind_power_forecast

wind_power_forecast

KDD_wind_power_forecast

KDD Cup 2022 spatial dynamic wind power forecast challenge solution.

roformer

Rotary Transformer

FLASH-pytorch

Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"

STAMP

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

CoHHN

Session-based Recommendation, CoHHN, price preferences, interest preferences, Heterogeneous Hypergraph, Co-guided Learning, SIGIR2022

P-GNN

Position-aware Graph Neural Networks

pytorch-GENet

A Pytorch implementation of https://arxiv.org/abs/1810.12348.

MTD

GCM-SR

Python implementation for "Incorporating Global Context into Multi-task Learning for Session-based Recommendation"

SLIST

This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"

GNF

sessionRec_NARM

Funnel-Transformer

TAGNN

[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"

Gated-Convolutional-Networks

A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.

seckill

一个整合SSM框架的高并发和商品秒杀项目,学习目前较流行的Java框架组合实现高并发秒杀API

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！