Pinned Repositories
adversarial-autoencoder
Chainer implementation of adversarial autoencoder (AAE)
cart
Classification and Regression Trees with Random Forest implemented in Python
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
decesion-tree-implement
a implement of decision tree with python
deep-learning-demo
记录小润学习的深度学习例子，首先是 TensorFlow 和 Keras 框架，之后再补充 Theano/Torch
Deep-Learning-TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
deep_learning_tools_for_dsvm
Useful deep learning tools for the Data Science Virtual Machine
DIGITS
Deep Learning GPU Training System
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
golearn
Machine Learning for Go
weibogit's Repositories
weibogit/cart
Classification and Regression Trees with Random Forest implemented in Python
weibogit/adversarial-autoencoder
Chainer implementation of adversarial autoencoder (AAE)
weibogit/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
weibogit/decesion-tree-implement
a implement of decision tree with python
weibogit/deep-learning-demo
记录小润学习的深度学习例子，首先是 TensorFlow 和 Keras 框架，之后再补充 Theano/Torch
weibogit/Deep-Learning-TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
weibogit/deep_learning_tools_for_dsvm
Useful deep learning tools for the Data Science Virtual Machine
weibogit/DIGITS
Deep Learning GPU Training System
weibogit/Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
weibogit/golearn
Machine Learning for Go
weibogit/GraphLab-Create-SDK
SDK for Turi's GraphLab Create.
weibogit/h2o-3
Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)
weibogit/librec
LibRec: A Java Library for Recommender Systems, see
weibogit/LightGBM
LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
weibogit/mxnet-notebooks
weibogit/neon
Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™
weibogit/OpenCV2-Python-Tutorials
This repo contains tutorials on OpenCV-Python library using new cv2 interface
weibogit/Paddle
PArallel Distributed Deep LEarning
weibogit/r-ninja
R语言忍者秘笈
weibogit/Random-Forest
Parallelization of the machine learning algorithm.
weibogit/SUML
Machine Learning Algorithms
weibogit/Tensorflow-101
TensorFlow Tutorials
weibogit/TensorFlow-Chinese-Tutorial
TensorFlow中文教程
weibogit/TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
weibogit/TensorFlow-VAE-GAN-DRAW
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
weibogit/tinyflow
Tutorial code on how to build your own Deep Learning System in 2k Lines
weibogit/useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
weibogit/vae
Variational Autoencoder / Deep Latent Gaussian Model demo