xue9981

VisionLLaMA

VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks

AdaBLDM

The implement for paper : "A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation"

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

FOD

Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection

UniAD

[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection

stylegan

StyleGAN - Official TensorFlow Implementation

FasterViT

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

ConvSSM

TransVPR-model-implementation

RetNet

An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"

author-response-letter

Latex template to quickly write author response letters to review comments.

mono

Mono open source ECMA CLI, C# and .NET implementation.

cppitertools

Implementation of python itertools and builtin iteration functions for C++17

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

LoRA-ViT

Low rank adaptation for Vision Transformer

open_clip

An open source implementation of CLIP.

pyexcel

Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files

CutMix-PyTorch

Official Pytorch implementation of CutMix regularizer

ReConPatch-TF

WIP: Unofficial Tensorflow 2.x Implementation of ReConPatch (https://arxiv.org/abs/2305.16713)

rye

a Hassle-Free Python Experience

UCAD

[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.

DRAEM

BGAD

Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

DRA

Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection.

pytorch-gpu-benchmark

Using the famous cnn model in Pytorch, we run benchmarks on various gpu.

pytorch-benchmark

Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption

cuda_benchmark

A library to benchmark CUDA code, similar to google benchmark.

alibi-detect

Algorithms for outlier, adversarial and drift detection

patchcore-inspection