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Yijie Zhuang's Projects

banditml icon banditml

A lightweight & open source framework for personalization https://www.banditml.com

bear icon bear

Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction

deep-learning-containers icon 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.

dmlc-core icon dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

easytrade icon 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 icon keras-fcn

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

pillow icon pillow

The friendly PIL fork (Python Imaging Library)

prml icon prml

PRML algorithms implemented in Python

rabit icon rabit

Reliable Allreduce and Broadcast Interface for distributed machine learning

ray icon ray

A system for parallel and distributed Python that unifies the ML ecosystem.

recnn icon recnn

Reinforced Recommendation toolkit build around pytorch 1.4

reco-gym icon reco-gym

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

sagemaker-tensorflow-training-toolkit icon 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 icon tinygbt

A Tiny, Pure Python implementation of Gradient Boosted Trees.

xgboost icon 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

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