hanruisong's starred repositories

leetcode-master

《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

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open_clip

An open source implementation of CLIP.

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NegLabel

[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"

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UniEnt

PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"

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T-MARS

Code for T-MARS data filtering

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NeglectedTailsVLM

This repository houses the code for the paper - "The Neglected of VLMs"

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CLAP

[CVPR 2024] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP).

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NegLabel

[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"

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DMN

CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models

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ARF

[CVPR 2024] Anchor-based Robust Finetuning of Vision-Language Models

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TDA

[CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models.

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DeIL

Python code to implement DeIL, a CLIP based approach for open-world few-shot learning.

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segment-anything

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.

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UEO

ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"

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opro

official code for "Large Language Models as Optimizers"

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SpLiCE

Sparse Linear Concept Embeddings

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SURE

(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”

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RCML

Reliable Conflictive Multi-view Learning

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Adversarial-AutoMixup

Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)

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OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

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LoCoOp

[NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

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Awesome-Out-Of-Distribution-Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc

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SCALE

[ICLR 2024] Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement.

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PALM

This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024

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