dandelionwow Goto Github PK

brain-dissection

bsth

The source code of "Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval." (Accepted by SIGIR 2022)

clip

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

clip_prs

official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"

coop

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

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

dassl.pytorch

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

dbsth

fork from https://github.com/FutureTwT/DBSTH

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

disentangled_graph_collaborative_filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

dssrec

Disentangled Self-Supervision in Sequential Recommenders

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

getnext

Code for paper "GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation"

htroi-neural-encoding

huze_algonauts

Algonauts Challenge 2021 Submission ID huze

lads

Official Implementation of LADS (Latent Augmentation using Domain descriptionS)

lihang-code

《统计学习方法》的代码实现

ml-notebooks

:fire: Machine Learning Notebooks

mmrec

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

multi-modal-hashing-retrieval

The baselines of multi-modal hashing retrieval.

neural_collaborative_filtering

Neural Collaborative Filtering

ni-edu

Student version of NI-edu courses

nsddatapaper

Code related to the Natural Scenes Dataset data paper

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

textual_inversion

fork from https://github.com/rinongal/textual_inversion

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习