CaoYuanpu

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

alpaca-lora

Instruct-tune LLaMA on consumer hardware

BackdoorUnalign

Code of NAACL 2024 paper "Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections".

Bagel

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

BDML-CP

BDML-HW1

CypKlotski

doudizhu

:spades:斗地主引擎

label-tool

A tool for labeling anomaly in multivariate time series.

SPF

Code for "Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest"

CaoYuanpu/BackdoorUnalign

Code of NAACL 2024 paper "Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections".

CaoYuanpu/Bagel

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

CaoYuanpu/CypKlotski

CaoYuanpu/label-tool

A tool for labeling anomaly in multivariate time series.

CaoYuanpu/SPF

Code for "Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest"

CaoYuanpu/adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

CaoYuanpu/alpaca-lora

Instruct-tune LLaMA on consumer hardware

CaoYuanpu/BDML-CP

CaoYuanpu/BDML-HW1

CaoYuanpu/DecodingTrust

A Comprehensive Assessment of Trustworthiness in GPT Models

CaoYuanpu/FedCAMS

Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning

CaoYuanpu/FedDC_ours

An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"

CaoYuanpu/improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

CaoYuanpu/diffusion_denoised_smoothing

Certified robustness "for free" using off-the-shelf diffusion models and classifiers

CaoYuanpu/gitignore

A collection of useful .gitignore templates

CaoYuanpu/llama-recipes

Examples and recipes for Llama 2 model

CaoYuanpu/llama_bd

Inference code for LLaMA models

CaoYuanpu/MetaICL

An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

CaoYuanpu/MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

CaoYuanpu/OCR-GAN

Source code of "Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection"

CaoYuanpu/OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

CaoYuanpu/OpenSTL

The official implementation of the paper SimVP: Towards Simple yet Powerful Spatiotemporal Predictive learning.

CaoYuanpu/pFedMe

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

CaoYuanpu/PICL

Code for ACL2023 paper: Pre-Training to Learn in Context

CaoYuanpu/pytorch_flows

Implementation and tutorials of normalizing flows with the novel distributions module

CaoYuanpu/rlcard

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

CaoYuanpu/score_sde_pytorch

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

CaoYuanpu/smoothing

Provable adversarial robustness at ImageNet scale

CaoYuanpu/TrustworthyAI

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks

CaoYuanpu/vits-for-small-scale-datasets

[BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"