Yijie Zhuang's repositories
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
awesome-distributed-systems
A curated list to learn about distributed systems
deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
EasyTrade
A clone of the popular stock-trading app Robinhood, allowing for the simulation of trades for all stocks listed on the NASDAQ and NYSE exchanges, using real-time market data
Keras-FCN
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）
machine-learning-systems-design
A booklet on machine learning systems design with exercises
Pillow
The friendly PIL fork (Python Imaging Library)
PRML
PRML algorithms implemented in Python
rabit
Reliable Allreduce and Broadcast Interface for distributed machine learning
ray
A system for parallel and distributed Python that unifies the ML ecosystem.
RecNN
Reinforced Recommendation toolkit build around pytorch 1.4
reco-gym
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
sagemaker-rl-container
A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.
sagemaker-spark
A Spark library for Amazon SageMaker.
sagemaker-tensorflow-training-toolkit
Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
tinygbt
A Tiny, Pure Python implementation of Gradient Boosted Trees.
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
xgboost_ray
Distributed XGBoost on Ray