duvenaud

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Idris2

A purely functional programming language with first class types

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

nglod

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)

neut

A dependently-typed programming language with static memory management

NeuralCDE

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

Grassmann.jl

⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra

probnum

Probabilistic Numerics in Python.

JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

sdeint

Numerical integration of Ito or Stratonovich SDEs

ode-lstms

Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series

ffjord-rnode

Regularized Neural ODEs (RNODE)

simplex-algorithm

Python source code for Linear Programming and the Simplex Algorithm

VERA

LSD

Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"

implicit-hyper-opt

jlSimplex

Proof-of-concept implementation of the (dual) simplex algorithm for linear programming in Julia.

learns-dex

generative-downscaling

Research and experiments for downscaling climate/weather data via generative learning

covid

Modelling epidemiological dynamics and performing inference in these models

GPy-ABCD

Package containing a basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system

vargrad

Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference

jsc370.github.io

Course Website

amplification

adjoint_ode

Implementation of the adjoint state method with OwlDE

SocialBehaviors

junkbox

My life in code (since around 2005, I think)