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idnns

explore DNNs via Infomration

inferes

informationtheoryexperiment

Code used for information theory analysis of deep neural networks using matrix--based renyi's entropy and tensor kernels.

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jinv.jl

Flexible Framework for Parallel PDE Parameter Estimation in Julia

julia-examples

lagrangian_cavae

Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"

lgdi

This repository is for a research paper: "Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing Data"

lieconv

long-short-term-transformer

[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection

lstm-data-assimilation

lstm_for_pub

Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"

mac-network

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

machine-learning

Material Associated with the lecture Machine Learning in Geophysics

matlab_morphological_computation_simulation

A set of Matlab functions that were used for the publications "Towards a theoretical foundation for morphological computation with compliant bodies" and " The role of feedback in morphological computation with compliant bodies"

mc-lstm

Experiments with Mass Conserving LSTMs

meliad

mitchell_2022_clvf_gravity

mlreview_notebooks

Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."

morld

mtgnn

mtgode

The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

mts-lstm

Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

neon_q_sim

Code for simulation of early operational phase discharge from NEON

neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

nnphd-github

Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)

nn_physical_concepts

noise2self

A framework for blind denoising with self-supervision.

noisepy

Gathers all of our ambient noise modules in python

openchem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research