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Name: Jordan Shivers
Type: User
Company: University of Chicago
Location: Chicago, IL
Blog: jordanshivers.github.io
Name: Jordan Shivers
Type: User
Company: University of Chicago
Location: Chicago, IL
Blog: jordanshivers.github.io
Open-source pipeline to create augmented reality (AR) models from scientific data
Boltzmann Generators and Normalizing Flows in PyTorch
Official implementation of Cold-Diffusion for different transformations in pytorch.
This repository contains implementations and illustrative code to accompany DeepMind publications
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Using graph network to solve PDEs
Build Graph Nets in Tensorflow
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Implementations of selected inverse reinforcement learning algorithms.
(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Differentiable, Hardware Accelerated, Molecular Dynamics
Public development project of the LAMMPS MD software package
custom LAMMPS fix used for Brownian Dynamics Simulation (Overdamped Langevin)
Lennard-Jones MD code in C for teaching purposes
Implementing a ChatGPT-like LLM from scratch, step by step
Notebooks for "Learning Nonequilibrium Control Forces to Characterize Dynamical Phase Transitions"
Revealing Hidden Patterns in Deep Neural Network Feature Space Continuum via Manifold Learning (Nature Communications, 2023)
Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data
Learning in infinite dimension with neural operators.
Normalizing flows in PyTorch
Personal website
C++ application to convert pcd file, ply file, txt file or xyz point cloud to MESH representation (Gp3).
Polymer simulations of chromosomes and generating "in silico" Hi-C maps
An invigorating blend of 3D geometry tools in Python.
Python package for solving partial differential equations using finite differences.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.