Pinned Repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Classify-the-Sentiment-of-Sentences-from-the-Rotten-Tomatoes-Dataset
Convolutional-Neural-Networks-for-Sentence-Classification
cs231n.github.io
Public facing notes page
ecg-sleep
go
The Open Source Data Science Masters
Humanoid-Gait-Planning-and-Stability-of-Biped-Robot
MSc-project
paper-learning-to-transfer
Semi-supervised-Recursive-Autoencoders-for-Opinion-Detection-on-Twitter
kevinhsu's Repositories
kevinhsu/go
The Open Source Data Science Masters
kevinhsu/cs231n.github.io
Public facing notes page
kevinhsu/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
kevinhsu/2015
kevinhsu/adpredictor
A simple implementation of Microsoft's AdPredictor (http://bit.ly/SFgcq8) in Python
kevinhsu/ccmsuite
Python cognitive modelling suite
kevinhsu/ComputeFest2015_DeepLearning
kevinhsu/dml
D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency
kevinhsu/druid
Real²time Exploratory Analytics on Large Datasets
kevinhsu/Fraud_Detector
Fraud Detection using ensemble of Statistical, Network analysis and Machine learning approach.
kevinhsu/hao
好东西传送门
kevinhsu/Human_Level_Control_through_Deep_Reinforcement_Learning
Deepmind's Deep Q Learning on Atari
kevinhsu/huobanjiaoyu
kevinhsu/kaggle-avazu
Code for the 3rd place finish for Avazu Click-Through Rate Prediction
kevinhsu/kaggle-avazu-1
kevinhsu/kaggle-axa
Python code for AXA Driver Telematics Analysis Competition: https://www.kaggle.com/c/axa-driver-telematics-analysis/
kevinhsu/kaggle-driver-telematics
AXA Driver Telematics Challenge on Kaggle.com
kevinhsu/kaggle-galaxies
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
kevinhsu/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.
kevinhsu/MachineLearning-C---code
using c++ code to show the example of machine learning
kevinhsu/mean
MEAN.JS - Full-Stack JavaScript Using MongoDB, Express, AngularJS, and Node.js -
kevinhsu/ML-Algorithm
kevinhsu/Naiad
The Naiad system provides fast incremental and iterative computation for data-parallel workloads
kevinhsu/nhkeu
kevinhsu/node_wx
node.js发送微信消息
kevinhsu/openssl
kevinhsu/pyFM
Factorization machines in python
kevinhsu/Python_Massively_Parallel_FP_Tree
Cuda parallel program for fp growth algorithm in python
kevinhsu/scikit-learn
scikit-learn: machine learning in Python
kevinhsu/tutorials