aymar73,Aymar LIGA,github

9stepsawesome

The exercises/samples repo for bit.ly/9stepsawesome presentation

agile_data_code_2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

analyticalskillsbook

Code for the book Analytical Skills for AI and Data Science

A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular applications.

applied-predictive-modeling-with-python

A collection of notebook to learn the Applied Predictive Modeling using Python.

arcgis-python-api

Documentation and samples for ArcGIS API for Python

automatic_speech_recognition_with_multi_models

A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.

awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-random-forest

Random Forest - a curated list of resources regarding random forest

awesome-rl

Reinforcement learning resources curated

ba-dls-deepspeech

bigdata-cloud-projects

contains my projects for Big Data and Cloud Computing. All code is written and Java and utilizes Hadoop classes. With these, Amazon EC2 Elastic Map Reduce Cloud services were used to run these files and generate their output.