Materials for implementing and reproducing results in the NIPS paper.
☆23Nov 6, 2014Updated 11 years ago
Alternatives and similar repositories for Pseudo-Ensembles
Users that are interested in Pseudo-Ensembles are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Variational Sequential Labelers for Semi-Supervised Learning" (EMNLP 2018)☆33Oct 4, 2018Updated 7 years ago
- Re-implementation for paper 'Semi-supervised learning with deep generative models' using lasagne. There is no guarantee for bug free.☆14Jul 3, 2021Updated 4 years ago
- Code for "Semi-Supervised Models via Data Augmentation for Classifying Interactive Affective Responses"☆15Jun 26, 2020Updated 5 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19May 14, 2015Updated 10 years ago
- Multi-class classification on Yelp Data - part of Yelp Dataset Challenge 2017☆10Dec 15, 2017Updated 8 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆16Jul 6, 2023Updated 2 years ago
- Official implementation of Generating Object Stamps☆15Mar 8, 2021Updated 5 years ago
- A C based general low-level PHP extension and client library for Redis, focusing on performance, generality and efficient parallel commun…☆11Jun 21, 2013Updated 12 years ago
- mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning☆11Jun 19, 2017Updated 8 years ago
- Deep Neural Network Ensembles for Extreme Classification☆41Apr 20, 2019Updated 6 years ago
- Jubatus algorithm component☆20May 16, 2019Updated 6 years ago
- ☆17Oct 29, 2021Updated 4 years ago
- ☆17Aug 19, 2016Updated 9 years ago
- This is the final project of the CSE6250. We mainly use the MIMIC-III data to predict the sepsis.☆13Apr 28, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆20May 28, 2019Updated 6 years ago
- A Torch wrapper for gSLICr super-pixel algorithm☆14Apr 1, 2016Updated 10 years ago
- repository for R library "sbrlmod"☆26May 5, 2024Updated last year
- Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for…☆21Mar 8, 2018Updated 8 years ago
- ☆14May 14, 2019Updated 6 years ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆21Dec 8, 2021Updated 4 years ago
- Implementation of the pseudo-label algorithm with keras☆18Nov 2, 2019Updated 6 years ago
- Tools for querying various name-based gender inference services and evaluate them.☆10Dec 7, 2022Updated 3 years ago
- Language Modeling with Sum-Product Networks☆20Jul 29, 2014Updated 11 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN☆223Sep 3, 2020Updated 5 years ago
- ☆19Jun 10, 2021Updated 4 years ago
- ☆18May 15, 2015Updated 10 years ago
- Implementation of Polymorphic Gradual Typing☆12Sep 16, 2018Updated 7 years ago
- Based on Thompson sampling with the online bootstrap (Dean Eckles, Maurits Kaptein). http://arxiv.org/abs/1410.4009☆11Dec 30, 2014Updated 11 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Apr 22, 2016Updated 9 years ago
- Standard Recurrent Language Model☆29Jun 23, 2015Updated 10 years ago
- Runway Port of BigBiGAN from the paper "Large Scale Adversarial Representation Learning"☆10Dec 10, 2024Updated last year
- ☆24Oct 7, 2016Updated 9 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This repository is the replication package of the NeurIPS19 paper "MarginGAN: Adversarial Training in Semi-Supervised Learning"☆12Oct 27, 2019Updated 6 years ago
- ☆22Mar 2, 2017Updated 9 years ago
- A C++ neural network libray for sequences mainly, focusing on Long Short-term Memory (LSTM) and Restricted Boltsmann Machine (RBM) Layer…☆16Jul 21, 2015Updated 10 years ago
- Localized GAN☆18Nov 21, 2017Updated 8 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆181Nov 2, 2017Updated 8 years ago
- Virtual Adversarial Ladder Networks for Semi-Supervised Learning☆13Oct 27, 2017Updated 8 years ago
- Includes chainer code used to get 1.24 bpc on hutter prize☆15Oct 12, 2017Updated 8 years ago