orico / ActiveLearningFrameworkTutorialLinks
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
☆56Updated 6 years ago
Alternatives and similar repositories for ActiveLearningFrameworkTutorial
Users that are interested in ActiveLearningFrameworkTutorial are comparing it to the libraries listed below
Sorting:
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆247Updated last year
- Multi-class with imbalanced dataset classification☆84Updated 6 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆99Updated 4 years ago
- Active Learning using Multi Label Image Dataset☆14Updated 6 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Python-based implementations of algorithms for learning on imbalanced data.☆241Updated 3 years ago
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88Updated 3 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 6 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 6 years ago
- A novel method for few shot learning☆53Updated 6 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆119Updated 4 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆177Updated 2 years ago
- Few Shot Learning by Siamese Networks, using Keras.☆194Updated 5 years ago
- This repo contains all the notebooks mentioned in blog.☆93Updated 5 years ago
- Deep learning course CE7454, 2018☆79Updated 6 years ago
- Active Learning on Image Data using Bayesian ConvNets☆139Updated 9 years ago
- Implementation of Zero-Shot Learning algorithm using Word2Vecs as class embeddings☆87Updated 7 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 6 years ago
- Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper☆35Updated 6 years ago
- Actualmed COVID-19 Chest X-ray Dataset Initiative☆20Updated 5 years ago
- Autoencoder model for rare event classification☆105Updated 6 years ago
- A repository for public Machine Learning notebooks I have created☆78Updated 3 years ago
- Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageM…☆173Updated 4 years ago
- ☆27Updated 5 years ago
- Contains materials for workshops pertaining to adversarial robustness in deep learning.☆86Updated 4 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆91Updated 3 years ago
- Materials for my lectures and for self-study in machine learning☆140Updated 4 years ago
- Bayesian neural network using Pyro and PyTorch on MNIST dataset☆315Updated 7 years ago