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adversarialvariationalbayes

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

autotreeml

automated procedures of training classic machine learning models

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.)

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesian-rnn

causalimpact

Python port of CausalImpact R library

deep-learning-tricks

Enumerate diverse machine learning training tricks.

deepexplain

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

deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

disstre

drsquare_tree

dtm

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

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

graph2vec

Theano implementation of GloVe for graphs

heterornn

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

imv-lstm

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

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.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

line

This is an implementation of LINE(Large-scale information network embedding) algorithm.

lucid

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

mixture_models_crypto

mixtureensemble

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

modelview

multitsmodelseg

Managing multiple model-view sensor time series in the cloud

ndlib

Network Diffusion library