sudao-he Goto Github PK

adversarial_video_summary

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

animegan2-pytorch

PyTorch implementation of AnimeGANv2

assignment-random-forest

Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bert-pytorch

Google AI 2018 BERT pytorch implementation

bounded_neural_network

The implementation of our paper 'A Unified Label Noise-Tolerant Framework of Deep Learning-based Fault Diagnosis via A Bounded Neural Network'

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

cogan-pytorch

Implementation of Cogan based on pytorch machine learning framework

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

ddg

deep-correlation-network

This is the code of "Weakly Alignment-free RGBT Salient Object Detection with Deep Correlation Network"

deepfacade

Source code for paper DeepFacade: A Deep Learning Approach to Facade Parsing

eaefnet

efdm

Official PyTorch codes of CVPR2022 Oral: Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

flowformerplusplus

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

generators-with-stylegan2

Here is a series of face generators based on StyleGAN2

glue-factory

Training library for local feature detection and matching

gluestick

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

gpt_academic

为ChatGPT/GLM提供实用化交互界面，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chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。

hugo-minimal-theme

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

kthohr.github.io

ladg

code for our paper localized adversarial domain generalization

landmark-annotation

关键点标注工具 | Landmark-Annotation

lasnet

[TCSVT2023] [LASNet] RGB-T Semantic Segmentation with Location, Activation, and Sharpening

learning_without_forgetting

Learning without Forgetting paper implementation

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

lstm_gan

Implementation of LSTM GAN for twitter posts generating.

lwf

Implementation of Learning without Forgetting paper