shogo-a

shogo-a's Stars

• ndey96/GCNN-Explainability

  Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories

  Language:Jupyter Notebook733

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.8k280

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.5k3.3k

• Reo-I/anomaly-detection

  Language:Python1

• openai/glow

  Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

  Language:Python3.1k515

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.2k642

• shuyo/iir

  Machine Learning / Natural Language Processing / Information Retrieval

  Language:Python710298

• machine-intelligence-laboratory/TopicNet

  Interface for easier topic modelling.

  Language:Python14017

• schatty/prototypical-networks-tf

  Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0

  Language:Python5117

• jacobeisenstein/SAGE

  Sparse Additive Generative Model of Text

  Language:Matlab8627

• JoeZJH/Labeled-LDA-Python

  Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python

  Language:Python12031

• mpkato/dmr

  Topic Models with Dirichlet-multinomial Regression

  Language:Python4110

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7.8k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python37.8k9.6k

• c-bata/goptuna

  A hyperparameter optimization framework, inspired by Optuna.

  Language:Go25622

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.4k3.3k

• lmzintgraf/cavia

  Code for "Fast Context Adaptation via Meta-Learning"

  Language:Python13740

• xiangwang1223/knowledge_graph_attention_network

  KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

  Language:Python1.1k310

• hoyeoplee/MeLU

  Language:Python17852

• mattintosh4/compact-wine

  Language:Shell867

• masa-su/pixyz

  A library for developing deep generative models in a more concise, intuitive and extendable way

  Language:Jupyter Notebook48941

• slackhq/SlackTextViewController

  ⛔️**DEPRECATED** ⛔️ A drop-in UIViewController subclass with a growing text input view and other useful messaging features

  Language:Objective-C8.3k1.1k

• conan7882/adversarial-autoencoders

  Tensorflow implementation of Adversarial Autoencoders

  Language:Python24739

• hwalsuklee/tensorflow-mnist-AAE

  Tensorflow implementation of adversarial auto-encoder for MNIST

  Language:Python8626

• ysasaki6023/conditionalVAE

  Language:Python4

• taji-taji/image_classifier_sample

  KerasとCoreMLを用いて、iOSアプリに機械学習（画像分類）を取り入れるサンプルです。

  Language:Jupyter Notebook84

• naturomics/CapsNet-Tensorflow

  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

  Language:Python3.8k1.2k

• stanislavfort/gaussian-prototypical-networks

  Gaussian prototypical network architecture for few-shot learning

  Language:Python3911

• sony/nnabla-examples

  Neural Network Libraries https://nnabla.org/ - Examples

  Language:Python30593

• abdulfatir/prototypical-networks-tensorflow

  Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

  Language:Jupyter Notebook13244