zhaokaihuang

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

AgentGPT

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

flash-attention

Fast and memory-efficient exact attention

modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

LaWGPT

🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型

dlrm

An implementation of a deep learning recommendation model (DLRM)

ChatGLM-Efficient-Tuning

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

RecBole

A unified, comprehensive and efficient recommendation library

LLM-As-Chatbot

LLM as a Chatbot Service

Algorithm-Practice-in-Industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

attention

some attention implements

dlrover

DLRover: An Automatic Distributed Deep Learning System

DeepRec

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

PandaGPT

[TLLM'23] PandaGPT: One Model To Instruction-Follow Them All

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

DICE

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

GAU-alpha

基于Gated Attention Unit的Transformer模型（尝鲜版）

chatgpt-briefing

极客时间 - ChatGPT公开课

es_dfm

Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Importance Weighting (FSIW) (Yasui et al. 2020), Fake Negative Weighted (FNW) (Ktena et al. 2019) and Fake Negative calibration(FNC) (Ktena et al. 2019)

TRON

⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.

HiNet

Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction

my-llm

All about large language models

FiBiNet

STEM

[AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".

SATrans

The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Science Track), which proposes a model for Multi-Scenario/Multi-Domain Recommendation.

Ks-D2Q

M3oE

Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework

awesome-models

基于TensorFlow实现推荐系统的model