spjohn

torchdiffeq

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

LDENet

ATFNet

Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting

LipschitzRNN

Lipschitz Recurrent Neural Networks

flexconv

Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.net/forum?id=3jooF27-0Wy

neuralRDEs

Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)

LEM

Official code for Long Expressive Memory (ICLR 2022, Spotlight)

snopt

Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight

M4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

npode

Learning unknown ODE models with Gaussian processes

dss

Sequence Modeling with Structured State Spaces

Delay-SDE-net

RHO-Loss

neural-processes

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

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

netron

Visualizer for neural network, deep learning and machine learning models

pymgrid

pymgrid is a python library to generate and simulate a large number of microgrids.

NeuralCausalModels

Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.

rdd

python code and jupyter notebooks to reproduce figures from our PLOS Computational Biology paper

ndp

Official code for the ICLR 2021 paper Neural ODE Processes

causica

CoMTE

Counterfactual Explanations for Multivariate Time Series Data

Stock_Market_Preduction

Stock Market Prediction using various Time Series Forecasting methods and Deep Learning method LSTM

annotated-s4

Implementation of https://srush.github.io/annotated-s4

ffjord-rnode

Regularized Neural ODEs (RNODE)

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

liquid-s4

Liquid Structural State-Space Models

s4

Structured state space sequence models

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

TM-GCN

Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product