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SSCL

[ACL 2023]This is the project of the paper: Alleviating Over-smoothing for Unsupervised Sentence Representation

SuperICL

Code for "Small Models are Valuable Plug-ins for Large Language Models"

SNCSE

SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples

RankEncoder

PeerCL

EMNLP 2022 "PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings"

HIER-CVPR23

Official PyTorch Implementation of HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization, CVPR 2023

MOSS

An open-source tool-augmented conversational language model from Fudan University

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Awesome-LLM

This project collects awesome resources (e.g., papers, open-source models) for large language model (LLM)

ContraNorm

Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "

ChatGPT

Reverse engineered ChatGPT API

DiffAug

[EMNLP 2022] Differentiable Data Augmentation for Contrastive Sentence Representation Learning. https://arxiv.org/abs/2210.16536

automl

Google Brain AutoML

PT-BERT

ACL 2022(findings): A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings

CircleLoss

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

P-tuning-v2

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

PromCSE

Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"

GenSE

Official implementaion of EMNLP 2022 paper "Generate, Discriminate, and Contrast: A Semi-Supervised Sentence Representation Learning Framework"

DeACL

This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness," which was accepted at ECCV 2022.

Decoupled-Contrastive-Learning

This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

A-InfoNCE

[ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"