luozoupi's Stars
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
bertini36/GMM
Variational Inference in Gaussian Mixture Model
jamesmcinerney/vbmm
Variational inference for Gaussian mixture models
ashkush/Variational-inference-Gaussian-mixture-model
Approximate posterior inference algorithm for the latent parameters of a gaussian mixture model with finite mixture components.
vincentadam87/MFVI
Mean Field Variational Inference for Regression
yangliuy/LDAGibbsSampling
Open Source Package for Gibbs Sampling of LDA
tanumitra/lda-implementation
lda with Gibbs Sampler
wpm/Naive-Bayes-Gibbs-Sampler
Gibbs sampler for for a Naive Bayes document classifier
HazyResearch/numbskull
Numba-based version of DimmWitted Gibbs sampler
joewandy/hlda
Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
yifanhunter/CUDA_on_ARM_learning
tvhahn/ml-tool-wear
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
lightaime/deep_gcns
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
yatindandi/Disentangled-Sequential-Autoencoder
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
AndrewSpano/Disentangled-Variational-Autoencoder
PyTorch Implementations of a VAE and a beta-VAE.
xiaobaixiaobaiaa/Simple-Implementation-of-Learning-Representative-Nodes-in-Social-Networks
rtqichen/beta-tcvae
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
DebasmitaGhose/PyTorch_Graph_Neural_Network_MNIST
Example code to train a Graph Neural Network on the MNIST dataset in PyTorch for Digit Classification
lightaime/deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
gusye1234/LightGCN-PyTorch
The PyTorch implementation of LightGCN
iworldtong/text_gcn.pytorch
PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."
megvii-research/ML-GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
dragen1860/GCN-PyTorch
Graph Convolution Network for PyTorch
UditSinghParihar/Utility_Torch
Example code with GCNs.
luoyuanlab/text_gcn_tutorial
A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
probml/probml-utils
Utilities for probabilistic ML
kimiyoung/planetoid
Semi-supervised learning with graph embeddings
xiexi51/graph_preprocess
owensgroup/merge-spmm
Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities