Pinned Repositories
AR_Pipeline
Open-source pipeline to create augmented reality (AR) models from scientific data
bgflow
Boltzmann Generators and Normalizing Flows in PyTorch
Cold-Diffusion-Models
Official implementation of Cold-Diffusion for different transformations in pytorch.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
dominant-balance
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
graph-pde
Using graph network to solve PDEs
graph_nets
Build Graph Nets in Tensorflow
jordanshivers's Repositories
jordanshivers/AR_Pipeline
Open-source pipeline to create augmented reality (AR) models from scientific data
jordanshivers/bgflow
Boltzmann Generators and Normalizing Flows in PyTorch
jordanshivers/Cold-Diffusion-Models
Official implementation of Cold-Diffusion for different transformations in pytorch.
jordanshivers/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
jordanshivers/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
jordanshivers/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
jordanshivers/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
jordanshivers/imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
jordanshivers/lammps
Public development project of the LAMMPS MD software package
jordanshivers/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
jordanshivers/IQ-Learn
(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation
jordanshivers/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
jordanshivers/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
jordanshivers/mda
Revealing Hidden Patterns in Deep Neural Network Feature Space Continuum via Manifold Learning (Nature Communications, 2023)
jordanshivers/neuraloperator
Learning in infinite dimension with neural operators.
jordanshivers/nflows
Normalizing flows in PyTorch
jordanshivers/peterparity.github.io
Personal website
jordanshivers/pointcloudToMesh
C++ application to convert pcd file, ply file, txt file or xyz point cloud to MESH representation (Gp3).
jordanshivers/polychrom
Polymer simulations of chromosomes and generating "in silico" Hi-C maps
jordanshivers/potpourri3d
An invigorating blend of 3D geometry tools in Python.
jordanshivers/py-pde
Python package for solving partial differential equations using finite differences.
jordanshivers/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
jordanshivers/PySR
High-Performance Symbolic Regression in Python and Julia
jordanshivers/pytorch_geometric
Graph Neural Network Library for PyTorch
jordanshivers/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
jordanshivers/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
jordanshivers/SRwPhysConsWL
Distributed High-Performance symbolic regression in Julia/attempt to be able to include backgrround knowledge in SR
jordanshivers/symbolic_deep_learning
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
jordanshivers/TopicVelo
TopicVelo: Dissection and Integration of Bursty Transcriptional Dynamics for Complex Systems
jordanshivers/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch