Jianglin954

Awesome-papers-in-the-fileds-of-CV-ML-PR-DM

This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern recognition, and data mining (where the notes only represent my personal views). The collection will be continuously updated, so stay tuned. Any suggestions and comments are welcome (jianglinlu@outlook.com).

LGI-LS

[NeurIPS 2023] Latent Graph Inference with Limited Supervision

Awesome-Large-Language-Models-On-Graphs

Papers on the topic of large language models (LLMs) on graphs

TCYB-2023-ATH-Codes

[TCYB 2023] Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning

Awesome-Multimodal-Learning-with-Graphs

Papers on the topic of multimodal learning with graphs

jianglin954.github.io

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

DIG

A library for graph deep learning research

DoRA-myself-project

Make some changes to original DoRA projects

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

GNNPapers

Must-read papers on graph neural networks (GNN)

interpretable-ml-book

Book about interpretable machine learning

lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch_geometric

Graph Neural Network Library for PyTorch

Swin-Transformer

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

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

umap

Uniform Manifold Approximation and Projection

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

ControlNet

Let us control diffusion models!

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

DiGress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

google-research

Google Research

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

stable-diffusion

A latent text-to-image diffusion model