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[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Various AI scripts. Mostly Stable Diffusion stuff.
The code of paper Unsupervised Image-to-Video Adaptation via Category-aware Flow Memory Bank and Realistic Video Generation
High-Resolution Image Synthesis with Latent Diffusion Models
Paint by Example: Exemplar-based Image Editing with Diffusion Models
AsyncSSH is a Python package which provides an asynchronous client and server implementation of the SSHv2 protocol on top of the Python asyncio framework.
Exploring Visual Prompts for Adapting Large-Scale Models
Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
Demo code for paper "Learning optical flow from still images", CVPR 2021.
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
cudawarped / opencv_contrib
Forked from opencv/opencv_contribRepository for OpenCV's extra modules
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.