betanalpha / Jupyter_case_studies

Local AI demo and distributed AI demo using TensorFlow

Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Resources for Machine Learning Pocket Reference

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Neural machine translator for English2German translation.

Software for the visualization of sequence-function relationships

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

Colorise Anime/Manga Sketches with DeOldify

Machine learning portfolio

TensorFlow Tutorials with YouTube Videos

Solution of RecSys Challenge 2015

brief introduction to Python for neural networks

生命情報の機械学習入門（新学術領域「先進ゲノム支援」中級講習会資料）

My repository for the Carvana Image Masking Challenge

It is the DKT+ model implemented in python3 and tensorflow1.2