limei0307

Limei Wang's starred repositories

google-research

Google Research

Language:Jupyter NotebookApache-2.033518 748 1218

tqdm

:zap: A Fast, Extensible Progress Bar for Python and CLI

Language:PythonNOASSERTION28045 207 985

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Language:PythonMIT19263 297 1340

DALL-E

PyTorch package for the discrete VAE used for DALL·E.

Language:PythonNOASSERTION10765 232 89

pytorch-grad-cam

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

Language:PythonMIT9949 42 401

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Language:PythonApache-2.07795 53 2344

dlrm

An implementation of a deep learning recommendation model (DLRM)

Language:PythonMIT3678 108 210

Pearl

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

Language:Jupyter NotebookMIT2444 32 54

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

Language:PythonMIT2236 31 109

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

Language:PythonNOASSERTION1568 20 77

SoraReview

The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".

480 8 2

P5

Language:PythonMIT294 50

Graph-Mamba

Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces

Language:Python185 6 6

LightGCL

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

Language:Python163 6 26

OpenGSL

Language:PythonMIT156 2 6

GraphMAE2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

Language:PythonMIT125 10 8

DeepGNN

DeepGNN is a framework for training machine learning models on large scale graph data.

Language:PythonMIT110 11 9

Higra

Hierarchical Graph Analysis

Language:C++NOASSERTION96 10 77

gvae

Language:Python83 3 1

VQ-VAE

Pytorch Implementation of "Neural Discrete Representation Learning"

Language:Jupyter Notebook77 2 3

GMN

76 16 4

VQGraph

[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs

Language:Python70 4 10

graph-gpt

Graph Learning with Generative Pretrained Transformers

Language:PythonMIT46 3 2

GraDe_IF

Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)

Language:Jupyter Notebook44 2 10

HeaRT

Language:PythonMIT41 1 6

The-expressive-power-of-pooling-in-GNNs

Code and dataset to test empirically the expressive power of graph pooling operators.

Language:PythonMIT30 1 1

vqvae-pytorch

A minimal PyTorch implementation of the VQ-VAE model described in "Neural Discrete Representation Learning".

Language:PythonApache-2.029 30

CLGNN

Language:PythonMIT8 1 1

gnn_node_subsampling

Language:PythonMIT300

hyperbolic-vqvae

Implements + tests VQ-VAEs with a hyperbolic latent space.

Language:Python100