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mps

Myopic Posterior Sampling for Adaptive Bayesian Design of Experiments

mqrnn

Multi-Quantile Recurrent Neural Network for Quantile Regression

msppy

mv-kumaraswamy

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

n-beats-1

ncp

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

neural-gc

neural-processes

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

neural_prophet

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

nipen

nn

🧠 Minimal implementations/tutorials of deep learning papers with side-by-side notes

nn_builder

Build neural networks with less boilerplate code

nnet-compression-generalization

nntimeseries

normalized-attention

Code publication to the paper "Normalized Attention Without Probability Cage"

notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

numerical-computing-is-fun

Learning numerical computing with notebooks for all ages.

online_boosting

A suite of boosting algorithms for the online learning setting.

op3

Entity Abstraction in Visual Model-Based Reinforcement Learning

openvino_training_extensions

Trainable models and NN optimization tools

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

pangeo_lstm_example

Example notebook, showing how to use LSTMs for rainfall-runoff modeling

ped-detr-for-pedestrian-detection

perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

pixelssl

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks

planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

planet-1

Learning Latent Dynamics for Planning from Pixels

pm-prophet

GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

porthamiltoniannn

Port-Hamiltonian Approach to Neural Network Training