shogo-a

shogo-a's Stars

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.8k9981.1k9.7k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook35.1k7491.3k8k

• shap/shap

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

  Language:Jupyter Notebook23.5k2442.6k3.3k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.6k415243.3k

• slackhq/SlackTextViewController

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

  Language:Objective-C8.3k2274201.1k

• naturomics/CapsNet-Tensorflow

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

  Language:Python3.8k247661.2k

• PetarV-/GAT

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

  Language:Python3.3k4476657

• openai/glow

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

  Language:Python3.1k22698516

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k29211285

• xiangwang1223/knowledge_graph_attention_network

  KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

  Language:Python1.1k1366319

• shuyo/iir

  Machine Learning / Natural Language Processing / Information Retrieval

  Language:Python7105917294

• masa-su/pixyz

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

  Language:Jupyter Notebook495443541

• sony/nnabla-examples

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

  Language:Python308333093

• c-bata/goptuna

  A hyperparameter optimization framework, inspired by Optuna.

  Language:Go26494722

• conan7882/adversarial-autoencoders

  Tensorflow implementation of Adversarial Autoencoders

  Language:Python24711239

• hoyeoplee/MeLU

  Language:Python17931452

• lmzintgraf/cavia

  Code for "Fast Context Adaptation via Meta-Learning"

  Language:Python1425341

• machine-intelligence-laboratory/TopicNet

  Interface for easier topic modelling.

  Language:Python138116417

• abdulfatir/prototypical-networks-tensorflow

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

  Language:Jupyter Notebook13331045

• JoeZJH/Labeled-LDA-Python

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

  Language:Python1215631

• hwalsuklee/tensorflow-mnist-AAE

  Tensorflow implementation of adversarial auto-encoder for MNIST

  Language:Python875127

• jacobeisenstein/SAGE

  Sparse Additive Generative Model of Text

  Language:Matlab876327

• mattintosh4/compact-wine

  Language:Shell871107

• ndey96/GCNN-Explainability

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

  Language:Jupyter Notebook81353

• schatty/prototypical-networks-tf

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

  Language:Python522218

• mpkato/dmr

  Topic Models with Dirichlet-multinomial Regression

  Language:Python416110

• stanislavfort/gaussian-prototypical-networks

  Gaussian prototypical network architecture for few-shot learning

  Language:Python395211

• 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 Notebook8404

• ysasaki6023/conditionalVAE

  Language:Python4200

• Reo-I/anomaly-detection

  Language:Python1100