lorenliu13

starch

STARCH compuets regional extreme storm physical characteristics and moisture balance based on spatiotemporal precipitation data from reanalysis or climate model data.

StormLab

StormLab is a stochastic rainfall generator that supports nonstationary space-time rainfall simulations for continental-scale river basins. The repository contains codes for implementing StormLab.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

C2N

CS_400_goodbook_library

CS400 class project: goodbook library

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

HecRasPyControl

Control hecras with python code

hpy

Python version of the hillslope link model

Image-Super-Resolution-via-Iterative-Refinement

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

lorenliu13.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

NLSA

Kernel methods for statistical modeling of dynamical systems

pix2pix

Image-to-image translation with conditional adversarial nets

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

RainNet

[NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling

starter-hugo-academic

STEP

a Python package that identifies, tracks, and computes physical characteristics of rainstorms.

trading-bot

Stock Trading Bot using Deep Q-Learning