Clean repo for tensor-train RNN implemented in TensorFlow

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

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

Lipschitz Recurrent Neural Networks

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

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

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

Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight

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

Learning unknown ODE models with Gaussian processes

Sequence Modeling with Structured State Spaces

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

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

Visualizer for neural network, deep learning and machine learning models

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

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

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

Official code for the ICLR 2021 paper Neural ODE Processes

Counterfactual Explanations for Multivariate Time Series Data

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

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

Regularized Neural ODEs (RNODE)

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

Liquid Structural State-Space Models

Structured state space sequence models

Code Repository for Liquid Time-Constant Networks (LTCs)