wyl7

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

DeepClustering

Methods and Implements of Deep Clustering

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

Awesome-Graph-LLM

A collection of AWESOME things about Graph-Related LLMs.

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

powerful-gnns

How Powerful are Graph Neural Networks?

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

llm-hallucination-survey

Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

awesome-ChatGPT-resource-zh

精选 OpenAI 的 [ChatGPT](https://chat.openai.com) 资源清单, 跟随最新资源并添加中文相关Work

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

selfcheckgpt

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

tuned-lens

Tools for understanding how transformer predictions are built layer-by-layer

multi-armed-bandit

Play with the solutions to the multi-armed-bandit problem.

Awesome-Deep-Graph-Anomaly-Detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

gdc

Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

generalized-category-discovery

Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

GeniePath-pytorch

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

COSTA

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

DCI-pytorch

The pytorch implementation of DCI (SIGIR2021).

DeepFD-pyTorch

A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)

overthinking_the_truth

KDD22-OODGAT

This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.

ClusterSCL

The pytorch implementation of ClusterSCL (WWW2022).

ClusterSCL

The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).

openworld-gan

visual-paraphrases-captioning

Code for the ICCV 2019 Paper "Generating Diverse and Descriptive Image Captions Using Visual Paraphrases"

images2poem

Data for the Paper "Images2Poem: Generating Chinese Poetry from Image Streams" in ACM MM 2018