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drbayes

Code Repo for "Subspace Inference for Bayesian Deep Learning"

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

drl

Deconfounding Reinforcement Learning in Observational Settings

dvrl

Deep Variational Reinforcement Learning

early-stopping-pytorch

Early stopping for PyTorch

easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

ebms_regression

Official implementation of "How to Train Your Energy-Based Model for Regression", 2020.

edge

EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning

elyra

Elyra extends JupyterLab Notebooks with an AI centric approach.

evograd

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fast-dawid-skene

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

fastai

The fastai deep learning library, plus lessons and tutorials

fbnn

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

feast

Feature Store for Machine Learning

feature-store

A python sdk to create and upload Feature-Groups within AWS

ffjord

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

ffjord-rnode

Regularized Neural ODEs (RNODE)

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

fnp

Implementation of the Functional Neural Process models

gamma-variational-autoencoder

Deep Latent Gamma Model / Gamma VAE

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gendice

Code for `GenDICE: Generalized Offline Estimation of Stationary Values'

generative-temporal-models-with-spatial-memory

gluon-ts

Probabilistic time series modeling in Python

google-research

Google AI Research

gpflow-slim

customized GPflow with simple Tensorflow API

gran-dag

gru-d

GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings

gtn