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low-bit-optimizers

Low-bit optimizers for PyTorch

Aurora

[NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model

Useful-Tools

Some Useful Tools Code

CoOp

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

CLIP

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

UniAdapter

Cross-Modal-Adapter

[arXiv] Cross-Modal Adapter for Text-Video Retrieval

Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

BITA

This is the official code for "Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image Captioning"

BLIP-Adapter

PE-RSITR

Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval, 2023

PIR

🧀 [ACMMM'23 Oral] Official Code for “A Prior Instruction Representation Framework for Remote Sensing Image-text Retrieval”

CLIP-Adapter

VL_adapter

PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

adapter-bert

LLaMA-Adapter

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

MemVP

[ICML 2024] Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning

Point-PEFT

(AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models

low_bit_llama

Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs

SST-2-sentiment-analysis

Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch

opencompass

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

grade-school-math

lm-evaluation-harness

A framework for few-shot evaluation of language models.

LOMO

LOMO: LOw-Memory Optimization

ZO-LLM

[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".

CoLLiE

Collaborative Training of Large Language Models in an Efficient Way

LOMOLite

A lightweight adapter for LOMO and AdaLOMO for drop-in use in your project

ResidualPrompts

Residual Prompt Tuning: a method for faster and better prompt tuning.