qifeng2010's repositories
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
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.
MXNet-for-CDL
MXNet code CDL
neural_collaborative_filtering
Neural Collaborative Filtering
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
SparkSMOTE
The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.
Unsupervised-Video
An Implementation of Unsupervised Learning of Video Representation in Tensorflow
Video-Summarization-with-LSTM
Implementation of our ECCV 2016 Paper (Video Summarization with Long Short-term Memory)