a-domain-adaption-transfer-learning-bearing-fault-diagnosis-model-based-on-wide-convolution-deep-neu

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.

airepair

alert

Official repository for the paper "ALERT: A Comprehensive Benchmark for Assessing Large Language Models’ Safety through Red Teaming"

anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

awesome-ai-testing

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-llm-safety

A curated list of security-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the security implications, challenges, and advancements surrounding these powerful models.

awesome-llm-watermark

UP-TO-DATE LLM Watermark paper. 🔥🔥🔥

awesome-se-for-ai

bigan

code for "Adversarial Feature Learning"

bing-dwen-dwen-python

用python画冰墩墩！

book

caddn

Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

cocopie-modelzoo

cs231n-assignment2019

CS231n 2019年春季学期课程作业

csd-ssd

cvalues

面向中文大模型价值观的评估与对齐研究

cvpr2022-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

da_visualization

[CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai

dada-aaai2020

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).

dagm2007-to-voc

Generate VOC format datasets from defective images in DAGM2007 dataset.

dd3d

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

ddmp-3d

[CVPR2021] Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection.

deepsec

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

do-not-answer

Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

fault-detect

This project is to classify the state of the welding chip. Considering the complexity of the problem, only two classifications are carried out, namely normal and abnormal. Through the test of fully connected network, convolutional neural network and Fine-tuning Of Google Net, we found that fine-tuning of Google Net had the best effect, reaching the highest score of 70 out of a full score of 80.

few-shot

Repository for few-shot learning machine learning projects

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine