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improved-dynamic-memory-networks-dmn-plus

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

infersent

Sentence embeddings (InferSent) and training code for NLI.

infogan

intrinsic-dimension

irgan

IRGAN SIGIR paper experimental code

joint-slu-lm

Tensorflow implementation of joint modeling of SLU (intent & slot filling) and LM with RNNs.

kb-infobot

A dialogue bot for information access

keepaway

Concurrent Hierarchical Reinforcement Learning for RoboCup Keepaway

keras

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

keras-molecules

Autoencoder network for learning a continuous representation of molecular structures.

keras-posenet

Implementation of the PoseNet Architecture in Keras

l0.pytorch

an implementation of L0 regularization with PyTorch

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

lang-emerge

[EMNLP 2017] Code for "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog"

lang-emerge-parlai

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

lang2logic

lang2program

Parse natural language into executable programs

lda-cython

Topic Model or LDA in Cython

learning-to-learn

Learning to Learn in TensorFlow

learning-to-reinforcement-learn

a implement of meta-RL

learning_by_grad_by_grad_repro

Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"

lectures

Oxford Deep NLP 2017 course

lsgn

Labeled Span Graph Networks

lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

lyapunov-learning

Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes

machinelearning_resourcescompilation

Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mem2seq

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems