jinghan-he

ties-merging

DiverseEvol

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning

LLM-Continual-Learning-Papers

Must-read Papers on Large Language Model (LLM) Continual Learning

FLAP

[AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models

TRACE

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

vstar

PyTorch Implementation of "V* : Guided Visual Search as a Core Mechanism in Multimodal LLMs"

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

LAMDA-PILOT

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

AdaLoRA

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

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.

continuum

A clean and simple data loading library for Continual Learning

CoOp

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

l2p

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

awesome-source-free-test-time-adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

LifelongReID

offical implement of our Lifelong Person Re-Identification via Adaptive Knowledge Accumulation in CVPR2021

continual_learning_papers

Relevant papers in Continual Learning

Awesome-Coreset-Selection

Awesome coreset/core-set/subset/sample selection works.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vision_transformer

crossnorm-selfnorm

CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021