gxhrid's repositories
AppRecommender
A recommender system for GNU/Linux applications
awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
BNN-DGN-AGI
Bayesian Neural Networks, Deep generative networks, Artificial general intelligence
bovy_mcmc
MCMC routines
BUAAthesis
北航毕设论文LaTeX模板
CEVAE
Causal Effect Inference with Deep Latent-Variable Models
deep-active-learning
Deep Active Learning
DVBPR
Personalized Fashion Recommendation and Generation
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
gess
An MCMC algorithm for sampling continuous probability distributions in parallel
graphlab
A framework for large-scale machine learning and graph computation.
kubeflow
Machine Learning Toolkit for Kubernetes
liblbfgs
libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)
MEIBP
Maximization-Expectation Indian Buffet Process (submodular IBP)
Mining-the-Social-Web-2nd-Edition
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
MyMediaLite
recommender system library for the CLR (.NET)
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
SPOJ
SPhere Online Judge problems practice
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
tensorflow-internals
It is open source ebook about TensorFlow kernel and implementation mechanism.
TSResampStrat_JDSA2017
Resampling Strategies for Imbalanced Time Series Forecasting (Code + Data)