CASIAhht

Diffusion-Models-Papers-Survey-Taxonomy

Diffusion model papers, survey, and taxonomy

GMNN

Graph Markov Neural Networks

DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

GREET

[AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

GraphMAE2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

score_flow

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

sdeflow-light

A minimalist implementation of score-based diffusion model

DPM-SNC

pyvene

Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions

chatgpt-web

使用 express 和 vue3 搭建的 ChartGPT 演示网页

awesome-self-supervised-gnn

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

lftk

[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.

b4msa

A Baseline for Multilingual Sentiment Analysis

chatgpt-comparison-detection

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

authorstyle

Python package to deal with PAN corpora and extract stylometric features from text documents.

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

FAGCN

ACM-GNN

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

TwiBot-22

Offical repository of TwiBot-22 @ NeurIPS 2022, Datasets and Benchmarks Track.

MDGCN

Markov-Driven Graph Convolutional Networksfor Social Spammer Detection

sktime

A unified framework for machine learning with time series

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

KnnContrastiveForOOD

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Open-Set-Recognition

Open Set Recognition