jeromeku Goto Github PK

2014_fall_astr599

Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python

2015

2015talk-ipython-parallel

2018-cs109b

Harvard CS109b Public Repository

2021-computefest

2022-pydata-global-seaborn

Materials for the Data Visualisation with Seaborn tutorial at PyData Global 2022

209fp

cs 209 final project

3rdplaceforecasting-kdd2022

3rd place solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting

447

447-20fa

materials for ECE 447 (Control Systems) at the University of Washington in Seattle

546-22wi-opt-lrn

course materials for ECE 546 -- optimization and learning for control -- taught in Winter 2022

548-21sp

AA/ECE/ME 548 -- Linear Multivariable Control -- at the University of Washington, Seattle

aa203-examples

Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.

aa203-homework

Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.

aa228-notebook

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

accelerated-scan

Accelerated First Order Parallel Associative Scan

acl2018-semantic-parsing-tutorial

Materials from the ACL 2018 tutorial on neural semantic parsing

acl2023-retrieval-lm.github.io

https://acl2023-retrieval-lm.github.io/

active-strategy-framework

A flexible framework for active LP strategy simulations that use the full Uniswap v3 swap history

advanced-comp-2017

💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017

advanced-data-streaming-1

advanced-data-streaming-2

advanced_gnn

advancepytorchgeometrictutorials

here you can find the material used for our Tutorials

afe2020

Advanced Financial Econometrics - Trinity Term 2020

ai-learn-to-invest

Machine Learning Project applied to stock market portfolio optimization

ai-metrics

An open source project to document AI progress through data.

aiaiart

Course content and resources for the AIAIART course.

algo_trading_and_quant_strategies

Supplemental Material for Algorithmic Trading and Quantitative Strategies

allennlp-as-a-library-example