Weihan Liao's repositories
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
awesome-graph-embedding
A collection of important graph embedding, classification and representation learning papers with implementations.
BEGAN-tensorflow
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
cuda_mat
this is a library that uses the reference CUDA bicgstab Ax=b solver implementation
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
esmm
ctr、cvr预估
FaceRecognition-HOG-PCA-SVM
Face Recognition implementation using, HOG, PCA, and SVM Classifier
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
GraphEmbedding
Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
matplotlib
matplotlib: plotting with Python
models
Models and examples built with TensorFlow
nlu_sim
all kinds of baseline models for sentence similarity
NSGA-II
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.
practice
practice
raptor
General, high performance algebraic multigrid solver
scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
sklearn-json
A safe, transparent way to share and deploy scikit-learn models.
Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
tensorflow
An Open Source Machine Learning Framework for Everyone
tensorflow-generative-model-collections
Collection of generative models in Tensorflow
text_classification
all kinds of text classificaiton models and more with deep learning
the-gan-zoo
A list of all named GANs!
wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"