waynechen's starred repositories

human-centered-machine-learning

Schedule and Syllabus for Human-Centered Machine learning.

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image-quality

Image quality is an open source software library for Image Quality Assessment (IQA).

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aws-glue-workshop

Repository for AWS Glue Workshop

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FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

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image_search_engine

Image search engine

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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temp

公開分享檔案暫存區

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m5-prediction-accuracy

Perform sales unit prediction by SageMaker.

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robust-physical-attack

Physical adversarial attack for fooling the Faster R-CNN object detector

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neural-structured-learning

Training neural models with structured signals.

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InstaNAS

⚡️ [AAAI'20][ICML'19 AutoML] InstaNAS: Instance-aware Neural Architecture Search

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maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

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EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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end-to-end-transformers

end-to-end Transformers workflow with Amazon SageMaker

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p13n-search-and-learn-2-rank

This repository provides examples demonstrating how to build a personalized search mechanism on AWS Elastic Search and SageMaker in an efficient and scalable way.

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PySyft

Perform data science on data that remains in someone else's server

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steward-sentiment-anlysis-bot

基于Google-Bert,进行Sentiment Analysis的任务,并利用`AWS SageMaker`进行模型训练和部署。

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syndata-generation

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

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spot-tagging-bot-for-digital-assets

Spot Tagging Bot for Digital Assets

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ckiptagger

CKIP Neural Chinese Word Segmentation, POS Tagging, and NER

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amazon-sagemaker-mlops-workshop

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

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finBERT

Financial Sentiment Analysis with BERT

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metaflow

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

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ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

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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.

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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.

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data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

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tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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