uobinxiao

Matcher

[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

VanillaNet

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

FEDformer

Awesome-time-series

A comprehensive survey on the time series domains

model-reprogramming

Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>

llm-numbers

Numbers every LLM developer should know

vrd_resource

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

FSCIL

[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"

constrained-FSCIL

PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"

Awesome-Incremental-Learning

Awesome Incremental Learning

Nested-Co-teaching

(L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise

docile

DocILE: Document Information Localization and Extraction Benchmark

Smoothing-R3

Code for Rethinking Label Smoothing on Multi-hop Question Answering

Table-Pretraining

ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor

Awesome-Noisy-Labels

A Survey

OmniTab

Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering

DetGPT

STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

VisDrone-Dataset

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

ESPT

Pytorch source code of ESPT method in AAAI 2023

mmc-amd

Multi-modal categorization of Age-related Macular Degeneration (4 classes: normal, dry AMD, pcv, wet AMD)

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

RelateAnything

Relate Anything Model is capable of taking an image as input and utilizing SAM to identify the corresponding mask within the image.

MedSAM

Segment Anything in Medical Images

lang-segment-anything

SAM with text prompt

lightning-sam

Fine-tune Segment-Anything Model with Lightning Fabric.

Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"