weilai0980

IMV-LSTM

Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series

onlineLearning

Online Learning of LSTM

TrendNet

tsRNN

DRSquare_tree

mixture_models_crypto

autoTreeML

automated procedures of training classic machine learning models

HeteroRNN

Heteroskedasticity recurrent neural networks including both maximum a posterior and Bayesian inference

MixtureEnsemble

newsQuant

tsCausality

AdversarialVariationalBayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-network-embedding

A curated list of network embedding techniques.

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

causalimpact

Python port of CausalImpact R library

DeepExplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability

dtm

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

kaggle-web-traffic

1st place solution

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lucid

A collection of infrastructure and tools for research in neural network interpretability.

ndlib

Network Diffusion library

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

OpenNE

An Open-Source Package for Network Embedding (NE)

Prob_Forecast_Mixture

A neural mixture structure based probability model for probabilistic forecasting

sent2vec

General purpose unsupervised sentence representations

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Statistical-Rethinking-with-Python-and-PyMC3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

tensorflow-bptt

Backpropagation-through-time library for TensorFlow

tianguo.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes