Pinned Repositories
adversarial-multi-criteria-learning-for-CWS
The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017
caffe
Caffe: a fast open framework for deep learning.
caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
CWS_LSTM
EMNLP2015_code_Long Short-Term Memory Neural Networks for Chinese Word Segmentation
DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
eacl2017_mtl
Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"
fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
GPflow
Gaussian processes in TensorFlow
nccl
Optimized primitives for collective multi-GPU communication
TensorFlow-NRE
Neural Relation Extraction implemented with LSTM in TensorFlow
MCCKK's Repositories
MCCKK/adversarial-multi-criteria-learning-for-CWS
The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017
MCCKK/nccl
Optimized primitives for collective multi-GPU communication
MCCKK/TensorFlow-NRE
Neural Relation Extraction implemented with LSTM in TensorFlow
MCCKK/caffe
Caffe: a fast open framework for deep learning.
MCCKK/caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
MCCKK/DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
MCCKK/eacl2017_mtl
Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"
MCCKK/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
MCCKK/GPflow
Gaussian processes in TensorFlow
MCCKK/GPflowOpt
Bayesian Optimization using GPflow
MCCKK/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
MCCKK/handong1587.github.io
MCCKK/hyperopt-sklearn
Hyper-parameter optimization for sklearn
MCCKK/lbfgsb-matlab
A MATLAB interface for L-BFGS-B
MCCKK/learning-to-drive-in-a-day
Implementation of reinforcement learning approach to make a car learn to drive
MCCKK/long-range-extrapolation
Capturing Structure Implicitly from Noisy Time-Series having Limited Data
MCCKK/missingno
Missing data visualization module for Python.
MCCKK/models
Models and examples built with TensorFlow
MCCKK/MOSM
Multi-Output Spectral Mixture kernel
MCCKK/nlpcc2017_news_headline_categorization
NLPCC2017示例代码以及数据描述
MCCKK/nonstationary-spectral-kernels
Implementation for Non-stationary Spectral Kernels (NIPS 2017)
MCCKK/pillow-simd
The friendly PIL fork
MCCKK/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
MCCKK/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
MCCKK/ProMP
ProMP: Proximal Meta-Policy Search
MCCKK/scikit-learn
scikit-learn: machine learning in Python
MCCKK/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
MCCKK/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
MCCKK/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
MCCKK/zhusuan
A Library for Generative Models