fujiyuu75's Projects
「作って動かすALife - 実装を通した人工生命モデル理論入門」サンプルコード
An open-source NLP research library, built on PyTorch.
A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.
『PythonによるAIプログラミング入門』のリポジトリ
A PyTorch implementation of the Transformer model in "Attention is All You Need".
AutoGluon: AutoML Toolkit for Deep Learning
Avito Demand Prediction Challenge :department_store:
TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
Source Code for the book Building Machine Learning Systems with Python
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
🎆 A visualization of the CapsNet layers to better understand how it works
A library of sklearn compatible categorical variable encoders
COCO API - Dataset @ http://cocodataset.org/
A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130
The Official Conference App for DroidKaigi 2017 Tokyo
fast.ai Courses
The Python programming language
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
Dash repo of user contributed docsets
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
『ゼロから作る Deep Learning』のリポジトリ
『ゼロから作る Deep Learning ❷』のリポジトリ
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
Code repository for Deep Learning with Keras published by Packt
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt