Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"

Accepted by NeurIPS 2023

The offical code of Cooperative and Adversarial Learning: Co-Enhancing Discriminability and Transferability in Domain Adaptation

The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)

AutoEncoder trained on ImageNet

implement infoGAN using pytorch

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

gStore - a graph based RDF triple store.

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, m…

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…

🍇 Grape-Academic-Theme: A modified version of the Jekyll Grape-Theme for an academic Portfolio. (Can include a blog)

LibAUC: A Deep Learning Library for X-Risk Optimization

This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Accelerated deep learning R&D

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Moco contrastive unsupervised pretraining on Nih Chest X-Rays dataset.

医学影像数据集列表 『An Index for Medical Imaging Datasets』

SmoothGrad implementation in PyTorch

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

[ICCV 2017] Torch code for Grad-CAM

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

A Tensorflow implementation of the paper arXiv:1604.03539

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

resource collection for transfer learning!

A collection of AWESOME things about domian adaptation

Unsupervised Domain Adaptation Papers and Code

Go实现的Trojan代理，支持多路复用/路由功能/CDN中转/Shadowsocks混淆插件，多平台，无依赖。A Trojan proxy written in Go. An unidentifiable mechanism that helps you bypass GFW. https://p4gefau1t.github.io/trojan-go/

Modern python library for emails