ai-se / xtree-planLinks
From Prediction to Planning: Improving Software Quality with BELLTREE
☆10Updated 2 years ago
Alternatives and similar repositories for xtree-plan
Users that are interested in xtree-plan are comparing it to the libraries listed below
Sorting:
- For training very deep networks☆10Updated 8 years ago
- 毕业设计。Keywords: 层次聚类、谱聚类、WordNet☆10Updated 11 years ago
- Active Learning☆56Updated 10 years ago
- ☆11Updated 9 years ago
- Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.☆11Updated 9 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 9 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 10 years ago
- Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…☆27Updated 5 years ago
- Word Embedding Revisted: Explicit Matrix Factorization☆33Updated 8 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"☆21Updated 9 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 12 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- The experiment software underlying two papers published at ECIR-2015 and SEMEVAL-2015.☆37Updated 10 years ago
- GPU accelerated Deep Belief Network☆46Updated 10 years ago
- Multilinear Factorization Machines for multi-task multi-view learning☆19Updated 8 years ago
- Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwr…☆36Updated 11 years ago
- Linear Recommender AAAI-16 code☆21Updated 7 years ago
- Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.☆23Updated 7 years ago
- Coursera Natural Language Processing by Michael Collins Columbia University☆31Updated 4 years ago
- Deep Learning Tutorial notes and code. See the wiki for more info.☆12Updated 10 years ago
- code for iclr workshop paper "Learning Document Embedding by Predicting N-grams for Sentiment Classification of Long Movie Reviews"☆25Updated 9 years ago
- RNN Approaches to Integer Sequence Learning--the famous Kaggle competition☆28Updated 8 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Neural Network Models for Multi-label learning☆17Updated 4 years ago
- Classifier of imbalanced data by boosting with random under sampling☆29Updated 6 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- An implementation of gibbs sampling for Latent Dirichlet Allocation☆30Updated 14 years ago