Stars
[CVPR 2024] Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
PyTorch implementation of JiT https://arxiv.org/abs/2511.13720
This is a resouce list for low light image enhancement
collection of diffusion model papers categorized by their subareas
[NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection.
A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time series foundation model, etc
[NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detection
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
LangChain, LangGraph Open Tutorial for everyone!
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
Machine Learning Engineering Open Book
Collection of awesome test-time (domain/batch/instance) adaptation methods
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection
The official repo for ”[WACV2025] Towards Accurate Unified Anomaly Segmentation“
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A python library for user-friendly forecasting and anomaly detection on time series.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Benchmarking physical understanding in generative video models
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Rethinking Image Forgery Detection and Localization
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch