a-norcliffe
PhD Student at Cambridge, researching Machine Learning in Medicine. Previously studied Machine Learning at UCL and Physics & Natural Sciences at Cambridge.
Cambridge
a-norcliffe's Stars
google-deepmind/alphafold
Open source code for AlphaFold.
hackergrrl/art-of-readme
:love_letter: Things I've learned about writing good READMEs.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
goodfeli/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
MilesCranmer/PySR
High-Performance Symbolic Regression in Python and Julia
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
yang-song/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
google-deepmind/neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
sigma-py/quadpy
:triangular_ruler: Numerical integration (quadrature, cubature) in Python
MilesCranmer/symbolic_deep_learning
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
patrick-kidger/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
google-deepmind/dqn_zoo
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
biomedia-mira/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
patrick-kidger/torchcubicspline
Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.
EmilienDupont/neural-processes
Pytorch implementation of Neural Processes for functions and images :fireworks:
titu1994/tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
cambridge/thesis
A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.
aterenin/phdthesis
Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
xwinxu/bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
nathanaelbosch/ProbNumDiffEq.jl
Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
vanderschaarlab/temporai
TemporAI: ML-centric Toolkit for Medical Time Series
DiffEqML/diffeqml-research
This repository contains code released by DiffEqML Research
crisbodnar/ndp
Official code for the ICLR 2021 paper Neural ODE Processes
DiffEqML/torchcontrol
A PyTorch library for all things nonlinear control and reinforcement learning.
a-norcliffe/Composite-Feature-Selection
Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
a-norcliffe/torch_gq_adjoint
Public Implementation of the Memory Efficient GQ Adjoint Method
bjd39/lupi-ndp
Learning using privileged information with neural ODE processes
uncbiag/neuro_shooting
Shooting approaches for deep neural networks