mr-eggplant

MonoTTA

Code release for the ECCV 2024 paper 'Fully Test-Time Adaptation for Monocular 3D Object Detection'

Awesome_Multimodel_LLM

Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.

Visual-Auditory-Fusion-Perception

广东省“珠江人才计划”——服务机器人智能引擎平台

VPTTA

CVPR2024_VPTTA

FOA

Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes

NOTE

The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"

MMD-MP

This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR2024).

cmaes

Python library for CMA Evolution Strategy.

SRTTA

TDS

Pytorch Implementation for "Test-Time Model Adaptation for Visual Question Answering with Debiased Self-Supervisions" (IEEE TMM 2023).

Benchmark-TTA

EPS-AD

This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).

PAIR

[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

DELTA

IguanaTex

A PowerPoint add-in allowing you to insert LaTeX equations into PowerPoint presentations on Windows and Mac

SAR

Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World

pytorch_forward_forward

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

EcoFormer

[NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"

NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

Awesome-Dataset-Distillation

A curated list of awesome papers on dataset distillation and related applications.

loss-landscape

Code for visualizing the loss landscape of neural nets

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

self_supervised

A Pytorch-Lightning implementation of self-supervised algorithms

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

ProCA

This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation (ECCV 2022)

vpt

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

GTOT-Tuning

Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"

memo

HowToLiveLonger

程序员延寿指南 | A programmer's guide to live longer

pGNNs

[ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks