fujiyuu75's Projects
Code for the Lovász-Softmax loss (CVPR 2018)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A GNU Social-compatible microblogging server
拙著『「アルゴリズム×数学」が基礎からしっかり身につく本』(2021/12/25 発売)の GitHub ページです。演習問題の解答や、C++ 以外のソースコードなどが掲載されています。ぜひご活用ください。
Build and manage real-life data science projects with ease.
Open source platform for the machine learning lifecycle
Models built with TensorFlow
DeepThought's solution
100 numpy exercises (100% complete)
Open solution to the TGS Salt Identification Challenge
A simple algorithm for clustering web pages, suitable for crawlers
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
:bar_chart: Sample Nodejs Application for the IBM Watson Personality Insights Service
pix2code: Generating Code from a Graphical User Interface Screenshot
TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
PyTorch tutorials demonstrating modern techniques with readable code
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
The "Python Machine Learning" book code repository and info resource
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Software used for generating embeddings from large-scale graph-structured data.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです
Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content
Keras-based implementation of Relational Graph Convolutional Networks
Implementation of R-GCNs for Relational Link Prediction
scikit-learn: machine learning in Python