YiranJing
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My solution to the Corelogic Grand Challenge
Lightning ⚡️ fast forecasting with statistical and econometric models.
Book about interpretable machine learning
My notes / works on deep learning from Coursera
Platform for designing and evaluating Graph Neural Networks (GNN)
Uplift modeling and causal inference with machine learning algorithms
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
My approach to CS224w [AT] Stanford 2019 : )
Open source code for AlphaFold 2.
A collection of research papers and software related to explainability in graph machine learning.
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Python library for CMA Evolution Strategy.
Data Science Using Python
A distributed job server built specifically for queuing and executing heavy SQL read jobs asynchronously. Separate out reporting layer from apps. MySQL, Postgres, ClickHouse.
专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
🚙 Moving closer to Autonomous Cars using AI and ML tech.
👩🏻💻 Data Structre and Concurrent Programming (Mar 2020 - Nov 2020)
A complete computer science study plan to become a software engineer.
A complete computer science study plan to become a software engineer.
Angrave's Crowd-Sourced System Programming Book used at UIUC
Algorithm Design (Kleinberg Tardos 2005) - Solutions