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adversarial-learning-for-generative-conversational-agents

This repository contains a new adversarial training method for Generative Conversational Agents

ann4s

Approximate Nearest Neighbors for Scala and Apache Spark

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

attentional-interfaces-o-reilly

My O'Reilly Publications

bench-wals

Benchmarking different implementations of weighted-ALS matrix factorization

benchm-databases

A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (interactive data analysis).

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

caffe2

Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.

cambridgemathematicspartiii

ccnn

Convexified Convolutional Neural Networks

chess-alpha-zero

Chess reinforcement learning by AlphaGo Zero methods.

clipper

A low-latency prediction-serving system

cloudml-samples

Samples for Google Cloud Machine Learning Engine

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

conversion

Because you're computing conversion rates wrong

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

cramer-gan

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

cs224n-winter17-notes

Course notes for CS224N Winter17

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-trading

Algorithmic trading with deep learning experiments

deepchatmodels

Conversation models in TensorFlow.

deeplearningimplementations

Implementation of recent Deep Learning papers

deeprecommender

Deep learning for recommender systems

delving-deep-into-gans

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

densely-interactive-inference-network

Cleaned code for paper "Natural Language Inference over Interaction Space"