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A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

face_recognition

The world's simplest facial recognition api for Python and the command line

fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

gensim

Topic Modelling for Humans

glm

GLM (General Language Model)

graphembedding

Implementation and experiments of graph embedding algorithms.

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

lego-art-remix

Powerful computer vision assisted Lego mosaic creator · Over 500,000 images created (so far!)

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

megatron-lm

Ongoing research training transformer models at scale

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

practicalguidetorecsys

《互联网大厂推荐算法实战》资料库

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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