hchen19

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

botorch

Bayesian optimization in PyTorch

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

diffusion_weather

Testing out Diffusion-based models for weather and PV forecasting

geemap

A Python package for interactive geospaital analysis and visualization with Google Earth Engine.

GeometricKernels

Geometric kernels on manifolds, meshes and graphs

github-readme-stats

:zap: Dynamically generated stats for your github readmes

gluonts

Probabilistic time series modeling in Python

GPJax

Gaussian processes in JAX.

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hchen19.github.io

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

kernel_packet

NeuralPDE.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

sparse_dgp

Surrogates.jl

Surrogate modeling and optimization for scientific machine learning (SciML)

hchen19

mlx

MLX: An array framework for Apple silicon

mojo

The Mojo Programming Language

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

pymc

Bayesian Modeling and Probabilistic Programming in Python

skillful_nowcasting

Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Turing.jl

Bayesian inference with probabilistic programming.