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）

Software for the visualization of sequence-function relationships

TensorFlow Tutorials with YouTube Videos

Inference case studies in jupyter

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

适合初级到中级晋升者，有了体系之后就看熟练度了。

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

statistics and classes for exploratory spatial data analysis

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

A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.

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.

Numerical simulations using flexible Lattice Boltzmann solvers

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

My repository for the Carvana Image Masking Challenge

COVID-19 workflows and datasets.

Machine learning projects, often on audio datasets

Compressed Sensing MRI based on Deep Generative Adversarial Network