createrll Goto Github PK

deeplearning

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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

dhcn

Codes for paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

dialogbert

Source Code for DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances (https://arxiv.org/pdf/2012.01775.pdf)

disencdr

[SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation

dmgc

Deep Multi-Graph Clustering via Attentive Cross-Graph Association

dsgfnet

dukenet

Code for SIGIR-2020 full paper: DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation

ea-vq-vae

This repo provides the code for the ACL 2020 paper "Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder"

ebgcn

faith

federated-learning-daily

fengshenbang-lm

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系

fewrel

A Large-Scale Few-Shot Relation Extraction Dataset

forec

The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"

free

免费科学上网,免费节点,免费ssr,免费v2ray,免费vmess节点,免费trojan节点,蓝灯,谷歌商店,免费翻墙

free-programming-books

:books: Freely available programming books

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

ganmf

This is the repository for our paper accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22) "GAN-based Matrix Factorization for Recommender Systems".

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gca

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

gnn

Tutorial about Graph Convolutional Network(GCN)

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

google-research

Google Research

grape

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".