Public Implementation of the Memory Efficient GQ Adjoint Method

A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

TemporAI: ML-centric Toolkit for Medical Time Series

Official Code for the paper: "Composite Feature Selection using Deep Ensembles"

📐 Numerical integration (quadrature, cubature) in Python

Open source code for AlphaFold 2.

Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces

Learning using privileged information with neural ODE processes

Code and hyperparameters for the paper "Generative Adversarial Networks"

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Official code for the ICLR 2021 paper Neural ODE Processes

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

💌 Things I've learned about writing good READMEs.

Shooting approaches for deep neural networks

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

High-Performance Symbolic Regression in Python and Julia

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.

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

This repository contains code released by DiffEqML Research

A PyTorch library for all things nonlinear control and reinforcement learning.

Pytorch implementation of Neural Processes for functions and images 🎆

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.