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active-learning
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A modular active learning framework for Python
python
machine-learning
scikit-learn
machine-learning-algorithms
machine-learning-library
machine-learning-api
bayesian-optimization
active-learning
active-learning-module
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Jun 8, 2021 - Python
Pool-based active learning in Python
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Feb 4, 2021 - Python
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
streaming
timeseries
time-series
lstm
generative-adversarial-network
gan
rnn
autoencoder
ensemble-learning
trees
active-learning
concept-drift
graph-convolutional-networks
interpretability
anomaly-detection
adversarial-attacks
explaination
anogan
unsuperivsed
nettack
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May 21, 2021 - Python
jbweston
commented
Nov 20, 2019
When computing the isosurface, when 4 simplex edges crosses the isosurface, we add 2 triangles to the isosurface triangulation.
Right now we add these arbitrarily (in these 3 lines) but we should add them so that the curvature is minimized.
The current state o
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
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May 19, 2021 - Python
Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning
docker
kubernetes
data-science
image-annotation
annotation
helm
video-annotation
data-analytics
supervised-learning
segmentation
object-detection
active-learning
annotation-tool
video-tagging
data-annotation
training-data
diffgram
training-data-storage
image-labeling-tool
data-annotation-machine-learning
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Jun 11, 2021 - Python
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
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Jun 11, 2021 - Java
govertv
commented
May 7, 2021
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Simulation runs can take quite long for models with high computation times. The current default behavior is to stop the simulation when every single document has been labelled. However, after all relevant documents have been found, there is no reason to continue the simulation for most of the metrics currentl
nlp
data-science
machine-learning
natural-language-processing
computer-vision
annotation
artificial-intelligence
spacy
prodigy
active-learning
annotation-tool
data-annotation
labeling-tool
machine-teaching
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Aug 19, 2020 - Python
Machine Learning for Computer Security
mysql
python
machine-learning
sqlalchemy
gui
labels
dataset
intrusion-detection
active-learning
malware-detection
interactive-machine-learning
rare-category-detection
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Updated
Oct 12, 2020 - Python
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
javascript
multi-platform
web
annotation
tool
interpolation
detection
point-cloud
automatic
autonomous-driving
mechanical-turk
3d
2d
active-learning
pointcloud
semi-automatic
surround
3d-object-detection
bounding-box
multi-view
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Jun 8, 2021 - JavaScript
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
deep-learning
tensorflow
machine-learning-algorithms
pytorch
deepwalk
deep-learning-algorithms
network-embedding
active-learning
graph-convolutional-networks
gcn
node2vec
graph-embedding
graph-classification
active-learning-module
node-classification
graph-neural-networks
graph-representation-learning
graph-convolution
gnn
graph-neural-network
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May 15, 2021 - Python
Smarter Manual Annotation for Resource-constrained collection of Training data
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Jun 10, 2021 - Python
Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
machine-learning
deep-learning
egl
active-learning
uncertainty-sampling
core-set
adversarial-active-learning
bayesian-active-learning
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Updated
Sep 26, 2019 - Python
Tools for detecting wildlife in aerial images using active learning
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May 31, 2021 - Python
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.
machine-learning
database
video
neural-network
annotation
multimedia
interactive
annotations
collaboration
kinect
coding
behaviour
ssi
nova
social-interactions
labeling
annotator
cooperative
automated-analysis
active-learning
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Updated
Jun 2, 2021 - C#
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)
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Feb 17, 2021 - HTML
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
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Jun 9, 2021 - Python
Multi-view face recognition, face cropping and saving the cropped faces as new images on videos to create a multi-view face recognition database.
face-recognition
active-learning
face-dataset
face-recognizer
face-database
face-recognition-database
face-recognition-dataset
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Updated
Jan 3, 2021 - Python
nlp
data-science
machine-learning
natural-language-processing
computer-vision
jupyter
annotation
artificial-intelligence
spacy
jupyterlab
prodigy
active-learning
annotation-tool
data-annotation
labeling-tool
machine-teaching
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Updated
Jun 2, 2021 - TypeScript
[CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"
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Jun 8, 2021 - Python
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
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Aug 4, 2020 - Python
MLSS2019 Tutorial on Bayesian Deep Learning
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Dec 31, 2019 - Jupyter Notebook
Python module for data scientists for quick creating annotation projects.
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Oct 22, 2020 - Python
List of relevant resources for machine learning from explanatory supervision
machine-learning
awesome-list
interactive-learning
active-learning
explainable-ai
explanatory-supervision
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May 10, 2021 - TeX
active learning for accelerated high-throughput virtual screening
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Updated
May 11, 2021 - Python
Awesome Active Learning Paper List
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Apr 7, 2021
A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
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Jun 26, 2020
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The pylibvw example object has accessors for most labels
and predictions, except for the newest ones: CCB, Slates and Continuous Actions. We should ensure these are implemented, and backfill [(https://github.com/VowpalWabbit/vowpal_wabbit/blob/master/python/vowpalwabbit/pyvw.py#L211) with them.pyvw.get_prediction()]