guangyangai
Stanford PhD graduate in energy resources engineering, working now in a healthcare tech start up in Boston, doing self driving and finance related side projects
Boston,MA
guangyangai's Stars
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
fastai/fastai
The fastai deep learning library
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
cs231n/cs231n.github.io
Public facing notes page
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
facebookresearch/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
mhammond/pywin32
Python for Windows (pywin32) Extensions
autorope/donkeycar
Open source hardware and software platform to build a small scale self driving car.
facebookresearch/pycls
Codebase for Image Classification Research, written in PyTorch.
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
stasi009/TakeHomeDataChallenges
My solution to the book <A collection of Data Science Take-home Challenges>
ray-project/tutorial
aws-samples/amazon-personalize-samples
Notebooks and examples on how to onboard and use various features of Amazon Personalize
aws-samples/amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
mc2-project/mc2
A Platform for Secure Analytics and Machine Learning
yanneta/pytorch-tutorials
erdos-project/erdos
Dataflow system for building self-driving car and robotics applications.
aws-samples/amazon-sagemaker-script-mode
Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)
aws-samples/amazon-sagemaker-stock-prediction-archived
Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.
alex-lechner/Traffic-Light-Classification
A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.
aws-samples/amazon-lex-customerservice-workshop
Code and walkthrough labs to create a customer service chatbot using Amazon Lex (and integrations with Amazon Connect, Twilio SMS, etc.)
stelligent/sagemaker-pipeline
Sagemaker pipeline for AWS Summit New York
aws-samples/sagemaker-horovod-distributed-training
Distributed training with SageMaker's script mode using Horovod distributed deep learning framework
aws-samples/amazon-sagemaker-deepar-retail
Use SageMaker's DeepAR algorithm to continuously develop store inventory forecasts in response to changing data.
rumiio/sagemaker-rec-engine-demo
guybenb/TLC301---AI-driven-self-healing-churn-prediction-and-fraud-detection-on-AWS
gangooteli/keras-tcn
Keras Temporal Convolutional Network.