Popular GitHub Repositories for Median Cut

[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.

? Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Image segmentation - general superpixel segmentation & center detection & region growing

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

? Auto Captions for Final Cut Pro Powered by OpenAI's Whisper Model

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

? Automatically continue generating answers when ChatGPT responses get cut-off

Cut LLM costs and boost processing speed by transforming bulky HTML into compact Emmet notation

Cut and paste augmentation for object detection and instance segmentation

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

Pytorch implementation of "TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut"

Official code for "DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut", NeurIPS 2024

AI Video Editor: Use an LLM to stitch together multiple videos and do the rough-cut of video editing for you.

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.

Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests

Fast Interactive Image Segmentation using Graph-cut.

Object detection and classification

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