Chengyao Wang's starred repositories
Time-Series-Library
A Library for Advanced Deep Time Series Models.
ml-stable-diffusion
Stable Diffusion with Core ML on Apple Silicon
instill-core
🔮 Instill Core is a full-stack AI infrastructure tool for data, model and pipeline orchestration, designed to streamline every aspect of building versatile AI-first applications
PapersReimplementations
Personal short implementations of Machine Learning papers
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.
TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
mini-docker
illustrate what docker really is in 100 lines of C/C++
Clean-Code-Notes
My notes of Clean Code book
awesome-list
A list of useful stuff in Machine Learning, Computer Graphics, Software Development, ...
flask-file-server
A flask file server with an elegant frontend for browsing, uploading and streaming files
ICML2022-FEDformer
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
tf-bspline
Tensorflow Implementation of Bspline Interpolator
neural-splines
Official Implementation of Neural Splines
varying-coefficient-net-with-functional-tr
[ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effects
awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
treeboostVCM
Tree Boosted Varying Coefficient Models