TaihuaLi

sagemaker-ssh-helper

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)

sagemaker-explaining-credit-decisions

Amazon SageMaker Solution for explaining credit decisions.

amazon-sagemaker-notebook-instance-lifecycle-config-samples

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

amazon-sagemaker-custom-recommender-system

fdiworkshop

mammography-workshop

sagemaker mammography tko workshop

labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

gitignore

A collection of useful .gitignore templates

code_snippets

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

docker-for-data-science-tutorial

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

3D-Machine-Learning

A resource repository for 3D machine learning

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

allennlp

An open-source NLP research library, built on PyTorch.

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

jupyterlab

JupyterLab computational environment.

jupyter-themes

Custom Jupyter Notebook Themes

Surprise

A Python scikit for building and analyzing recommender systems

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

2017-slides

Slides and talk assets from PyCon 2017

c3

:bar_chart: A D3-based reusable chart library

dimple

An object-oriented API for business analytics

nvd3

A reusable charting library written in d3.js