scutfrank

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

lime

Lime: Explaining the predictions of any machine learning classifier

mahjong-helper

日本麻将助手：牌效+防守+记牌（支持雀魂、天凤）

ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

Angular-Penalty-Softmax-Losses-Pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

align_uniform

Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2020

Revisiting_Deep_Metric_Learning_PyTorch

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

ACE

Towards Automatic Concept-based Explanations

Generalized-Long-Tailed-Benchmarks.pytorch

[ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together with other baselines are also included.

Balanced-Contrastive-Learning

Code Release for “Balanced Contrastive Learning for Long-Tailed Visual Recognition”

rrl

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

targeted-supcon

A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition

GLMC

[CVPR2023] Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions

Visual-Reasoning-eXplanation

[CVPR 2021] A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

MultiModN

MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)

Label-Free-XAI

This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.

Long-tailed-recognition

FCC

[CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted by CVPR 2023

HINT

[CVPR 2022] HINT: Hierarchical Neuron Concept Explainer

awesome-xai

Papers about Explainable AI (Deep Learning-based)

WaveletAttention

Wavelet-Attention CNN for Image Classification

Fairness-Reprogramming

vMF-OP

Difficulty_Net

ACE_TCAV_Pytorch

Automatic Concept Extraction and TCAV Implemented in Pytorch

nifr

Null-sampling for Interpretable and Fair Representations

L2I-code

FCRO

On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations