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anmm-cikm16

Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection

awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

btgym

OpenAI Gym environment for Backtrader trading platform

carskit

Java-Based Context-aware Recommendation Library

complete-guide-to-tensorflow-for-deep-learning-with-python

contextualbandits

Python implementations of contextual bandits algorithms

coursera-machine-learning-specialization

Repo for coursera specialization Machine Learning by University of Washington

dataframecheatsheet

Yuhao's cheat sheet for Spark DataFrame

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

face_recognition

The world's simplest facial recognition api for Python and the command line

fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

foundry

The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning

interview-guide

Java interview guide

irl-imitation

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

jlibfm

A Java implementation of libFM(Factorization Machine Library)

keras_npi

NPI(Neural Programmer-Interpreters) implementation with Keras

leetcode-solutions

A repository with over 7000 solutions to more than 1800 Leetcode problems written in C++, Python, Java, and Javascript.

multinomial-factorization-machines

Multinomial Factorization Machines

mxnet-for-cdl

MXNet code CDL

neural_collaborative_filtering

Neural Collaborative Filtering

notes

pyspark_dist_explore

Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.

pytorch-vsumm-reinforce

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl-teacher

Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

shap

A unified approach to explain the output of any machine learning model

spark-fm-parallelsgd

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

sparksmote

The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.