tjanez / PyMTLLinks
PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-learn, SciPy and NumPy.
☆44Updated 12 years ago
Alternatives and similar repositories for PyMTL
Users that are interested in PyMTL are comparing it to the libraries listed below
Sorting:
- Representation based multi label classification with many labels☆41Updated 9 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆71Updated 7 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 9 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2016.☆99Updated 5 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago
- Deep CCA (DCCA) network☆15Updated 9 years ago
- implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow☆55Updated 7 months ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- Original implementation of Calibrated Boosting-Forest☆18Updated 8 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆39Updated 5 years ago
- Collection of autoencoders written in Keras☆37Updated 9 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago
- Coding example of DLIF tutorial☆66Updated 8 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"☆20Updated 9 years ago
- Highway networks implemented in PyTorch.☆54Updated 8 years ago
- ☆74Updated 7 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 8 years ago
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆49Updated 8 years ago
- Implementation of search-convolutional neural networks (SCNNs)☆51Updated 8 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago