An open API service providing repository metadata for many open source software ecosystems.

Topic: "active-learning"

cleanlab/cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Language: Python - Size: 11.5 MB - Last synced at: 1 day ago - Pushed at: 14 days ago - Stars: 10,486 - Forks: 824

voxel51/fiftyone

Refine high-quality datasets and visual AI models

Language: Python - Size: 1.91 GB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 9,412 - Forks: 622

VowpalWabbit/vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Language: C++ - Size: 157 MB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 8,553 - Forks: 1,929

argilla-io/argilla

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Language: Python - Size: 772 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 4,464 - Forks: 426

modAL-python/modAL

A modular active learning framework for Python

Language: Python - Size: 9.13 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 2,272 - Forks: 325

code-kern-ai/refinery

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Language: Python - Size: 3.54 MB - Last synced at: 13 days ago - Pushed at: 5 months ago - Stars: 1,433 - Forks: 71

python-adaptive/adaptive

:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

Language: Python - Size: 5.7 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1,187 - Forks: 58

baal-org/baal

Bayesian active learning library for research and industrial usecases.

Language: Python - Size: 44.8 MB - Last synced at: 3 days ago - Pushed at: 10 months ago - Stars: 895 - Forks: 87

NUAA-AL/ALiPy

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.

Language: Python - Size: 1.21 MB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 879 - Forks: 115

SupeRuier/awesome-active-learning

Everything you need about Active Learning (AL).

Size: 2 MB - Last synced at: 11 days ago - Pushed at: 11 months ago - Stars: 876 - Forks: 79

shubhomoydas/ad_examples

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.

Language: Python - Size: 125 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 855 - Forks: 184

ej0cl6/deep-active-learning

Deep Active Learning

Language: Python - Size: 40 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 809 - Forks: 184

ntucllab/libact

Pool-based active learning in Python

Language: Python - Size: 1.85 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 782 - Forks: 173

baifanxxx/awesome-active-learning

A curated list of awesome Active Learning

Size: 198 KB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 763 - Forks: 70

Renumics/awesome-open-data-centric-ai

Curated list of open source tooling for data-centric AI on unstructured data.

Size: 572 KB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 716 - Forks: 35

asreview/asreview

Active learning for systematic reviews

Language: Python - Size: 135 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 715 - Forks: 128

walzimmer/3d-bat

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Language: TypeScript - Size: 1.29 GB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 691 - Forks: 151

Project-MONAI/MONAILabel

MONAI Label is an intelligent open source image labeling and learning tool.

Language: Python - Size: 53.3 MB - Last synced at: 11 days ago - Pushed at: 16 days ago - Stars: 687 - Forks: 216

inception-project/inception

INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.

Language: Java - Size: 128 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 624 - Forks: 158

webis-de/small-text

Active Learning for Text Classification in Python

Language: Python - Size: 3.03 MB - Last synced at: 10 days ago - Pushed at: 17 days ago - Stars: 611 - Forks: 69

explosion/prodigy-recipes

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: 20 days ago - Pushed at: 9 months ago - Stars: 492 - Forks: 117

encord-team/encord-active

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

Language: Python - Size: 264 MB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 435 - Forks: 25

emdgroup/baybe

Bayesian Optimization and Design of Experiments

Language: Python - Size: 62.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 338 - Forks: 54

deepmodeling/dpgen

The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field

Language: Python - Size: 8.17 MB - Last synced at: 12 days ago - Pushed at: 15 days ago - Stars: 335 - Forks: 178

yuantn/MI-AOD

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

Language: Python - Size: 16.5 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 334 - Forks: 43

experimental-design/bofire

Experimental design and (multi-objective) bayesian optimization.

Language: Jupyter Notebook - Size: 49.7 MB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 274 - Forks: 31

ANSSI-FR/SecuML

Machine Learning for Computer Security

Language: Python - Size: 12.5 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 272 - Forks: 60

samueldobbie/markup

A web-based document annotation tool, powered by GPT-4 :rocket:

Language: TypeScript - Size: 79.7 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 260 - Forks: 32

label-sleuth/label-sleuth

Open source no-code system for text annotation and building of text classifiers

Language: Python - Size: 226 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 247 - Forks: 40

microsoft/aerial_wildlife_detection

Tools for detecting wildlife in aerial images using active learning

Language: Python - Size: 33.5 MB - Last synced at: about 11 hours ago - Pushed at: 9 months ago - Stars: 235 - Forks: 56

RTIInternational/SMART

Smarter Manual Annotation for Resource-constrained collection of Training data

Language: Python - Size: 129 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 222 - Forks: 31

ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

Language: Python - Size: 53.3 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 221 - Forks: 29

HuaizhengZhang/Active-Learning-as-a-Service

A scalable & efficient active learning/data selection system for everyone.

Language: Python - Size: 1.49 MB - Last synced at: 12 days ago - Pushed at: 10 months ago - Stars: 214 - Forks: 17

benedekrozemberczki/SEAL-CI

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Language: Python - Size: 5.08 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 211 - Forks: 43

dsgissin/DiscriminativeActiveLearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Language: Python - Size: 6.54 MB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 202 - Forks: 55

Mephisto405/Learning-Loss-for-Active-Learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

Language: Python - Size: 122 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 197 - Forks: 48

explosion/jupyterlab-prodigy

🧬 A JupyterLab extension for annotating data with Prodigy

Language: TypeScript - Size: 251 KB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 189 - Forks: 23

hcmlab/nova

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.

Language: C# - Size: 715 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 178 - Forks: 37

ZhangYuanhan-AI/Bamboo

Bamboo: 4 times larger than ImageNet; 2 time larger than Object365; Built by active learning.

Language: Python - Size: 5.41 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 175 - Forks: 7

AspirinCode/awesome-AI4MolConformation-MD

List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning

Size: 5.58 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 173 - Forks: 16

scikit-activeml/scikit-activeml

scikit-activeml: Python library for active learning on top of scikit-learn

Language: Python - Size: 61.9 MB - Last synced at: 11 days ago - Pushed at: 14 days ago - Stars: 161 - Forks: 19

internet-explorer-ssl/internet-explorer

Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.

Size: 11.7 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 159 - Forks: 6

coleygroup/molpal

active learning for accelerated high-throughput virtual screening

Language: Jupyter Notebook - Size: 249 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 158 - Forks: 36

stefanoteso/awesome-explanatory-supervision

List of relevant resources for machine learning from explanatory supervision

Language: TeX - Size: 207 KB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 157 - Forks: 16

NVlabs/AL-MDN

Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

Language: Python - Size: 196 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 151 - Forks: 18

decile-team/distil

DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

Language: Jupyter Notebook - Size: 22.5 MB - Last synced at: 19 days ago - Pushed at: about 2 years ago - Stars: 149 - Forks: 26

nihalsid/ViewAL

[CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"

Language: Python - Size: 12.2 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 142 - Forks: 28

yongjin-shin/awesome-active-learning

Awesome Active Learning Paper List

Size: 32.2 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 141 - Forks: 18

ahmetozlu/face_recognition_crop

Multi-view face recognition, face cropping and saving the cropped faces as new images on videos to create a multi-view face recognition database.

Language: Python - Size: 124 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 139 - Forks: 52

INK-USC/AlpacaTag

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

Language: HTML - Size: 87.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 137 - Forks: 22

aamini/chemprop

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

Language: Python - Size: 279 MB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 121 - Forks: 15

joisino/seafaring

Code for "Active Learning from the Web" (WWW 2023)

Language: Python - Size: 622 KB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 116 - Forks: 23

xlang-ai/icl-selective-annotation

[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"

Language: Python - Size: 32.5 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 109 - Forks: 16

cure-lab/deep-active-learning

An implementation of the state-of-the-art Deep Active Learning algorithms

Language: Python - Size: 1.56 GB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 103 - Forks: 18

ChenhongyiYang/PPAL

[CVPR 2024] Plug and Play Active Learning for Object Detection

Language: Python - Size: 2.62 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 97 - Forks: 13

Bin-Cao/Bgolearn πŸ“¦

[Materials & Design 2024] A Bayesian global optimization package for material design | Adaptive Learning | Active Learning

Language: Jupyter Notebook - Size: 420 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 91 - Forks: 15

ivannz/mlss2019-bayesian-deep-learning

MLSS2019 Tutorial on Bayesian Deep Learning

Language: Jupyter Notebook - Size: 189 KB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 91 - Forks: 34

doccano/doccano-client

A simple client for doccano API.

Language: Python - Size: 1.41 MB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 85 - Forks: 66

BIT-DA/EADA

[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

Language: Python - Size: 1.01 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 84 - Forks: 12

microsoft/MLOpsTemplate

Providing tools and templates to facilitate modern MLOps practices

Language: Jupyter Notebook - Size: 32.8 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 83 - Forks: 265

Dumbris/trunklucator

Python module for data scientists for quick creating annotation projects.

Language: Python - Size: 27.4 MB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 83 - Forks: 5

CogStack/MedCATtrainer

A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.

Language: Python - Size: 11 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 80 - Forks: 35

pietrolesci/energizer

An active learning library for Pytorch based on Lightning-Fabric.

Language: Python - Size: 1.95 MB - Last synced at: 20 days ago - Pushed at: 12 months ago - Stars: 79 - Forks: 12

LightersWang/Awesome-Active-Learning-for-Medical-Image-Analysis

[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"

Language: Python - Size: 644 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 72 - Forks: 3

BlackHC/batchbald_redux

Reusable BatchBALD implementation

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 71 - Forks: 14

whq-xxh/ADA4MIA

Awesome Active Domain Adaptation for Medical Image Analysis

Size: 43 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 68 - Forks: 6

PrateekMunjal/TorchAL

Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.

Language: Jupyter Notebook - Size: 30.1 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 67 - Forks: 7

dholzmueller/bmdal_reg

Deep Batch Active Learning for Regression

Language: Python - Size: 724 KB - Last synced at: 13 days ago - Pushed at: 7 months ago - Stars: 66 - Forks: 5

mourga/contrastive-active-learning

Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

Language: Python - Size: 27.7 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 66 - Forks: 9

grant-m-s/AstronomicAL

An interactive dashboard for visualisation, integration and classification of data using Active Learning.

Language: Python - Size: 60 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 65 - Forks: 11

AminParvaneh/alpha_mix_active_learning

The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper

Language: Python - Size: 516 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 64 - Forks: 8

slrbl/human-in-the-loop-machine-learning-tool-tornado

Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.

Language: Ruby - Size: 150 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 63 - Forks: 11

amrit110/Active-Learning-Papers

A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.

Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 60 - Forks: 7

Luoyadan/CRB-active-3Ddet

The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023).

Language: Python - Size: 7.91 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 59 - Forks: 8

zeyademam/active_learning

Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.

Language: Python - Size: 790 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 52 - Forks: 2

jonhue/activeft

PyTorch library for Active Fine-Tuning

Language: Python - Size: 351 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 51 - Forks: 3

dataiku-research/cardinal

A practical Active Learning python package with a strong focus on experiments.

Language: Python - Size: 16.8 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 6

sgbaird/honegumi

Honegumi (ιͺ¨η΅„み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.

Language: Jupyter Notebook - Size: 53.9 MB - Last synced at: 17 days ago - Pushed at: 29 days ago - Stars: 48 - Forks: 7

aim-uofa/DiverGen

DiverGen (CVPR 2024) & BSGAL (ICML 2024)

Language: Python - Size: 7.14 MB - Last synced at: 8 days ago - Pushed at: 28 days ago - Stars: 45 - Forks: 2

chritoth/active-bayesian-causal-inference

Active Bayesian Causal Inference (Neurips'22)

Language: Python - Size: 44.9 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 45 - Forks: 5

johnsk95/PT4AL

Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"

Language: Python - Size: 1.11 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 44 - Forks: 2

fastread/src

tools for fast reading of docs

Language: Python - Size: 48.5 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 44 - Forks: 16

ramhiser/activelearning

Active Learning in R

Language: R - Size: 896 KB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 44 - Forks: 12

Weizhe-Chen/PyPolo

A Python library for Robotic Information Gathering

Language: Python - Size: 34.3 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 5

tsunghan-wu/ReDAL

πŸ€ Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu et al. ICCV 2021."

Language: Python - Size: 28.4 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 41 - Forks: 10

lamalab-org/pyepal

Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.

Language: Python - Size: 10.5 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 40 - Forks: 6

siyuhuang/TOD

PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021

Language: Python - Size: 583 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 39 - Forks: 4

ImIntheMiddle/VATL4Pose-WACV2024

[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''

Language: Python - Size: 265 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 38 - Forks: 0

ylongqi/yumme

Yum-me is a nutrient based food recommendation system

Language: JavaScript - Size: 392 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 38 - Forks: 9

hical/HiCAL

HiCAL is a system for efficient high-recall retrieval with an adaptable assessing interface.

Language: Python - Size: 5.81 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 37 - Forks: 11

asreview/asreview-insights

Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB

Language: Python - Size: 12.1 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 36 - Forks: 13

wri-dssg-omdena/policy-data-analyzer

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Language: Jupyter Notebook - Size: 226 MB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 35 - Forks: 8

nducthang/Active-learning-for-object-detection

Active learning for deep object detection using YOLO

Language: Jupyter Notebook - Size: 542 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 35 - Forks: 5

yanxp/SSM-Pytorch

Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection

Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 34 - Forks: 11

dhaalves/CEAL_keras

Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper

Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 34 - Forks: 13

antonpuz/DeROL

Deep Reinforcement One-Shot Learning Framework for Artificially Intelligent Classification Systems

Language: Python - Size: 53.7 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 33 - Forks: 12

MSDLLCpapers/obsidian

Algorithmic process optimization and AI experiment design

Language: Python - Size: 13.3 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 31 - Forks: 4

fahadm/Bayesian-Active-Learning-Pytorch πŸ“¦

Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))

Language: Jupyter Notebook - Size: 5.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 4

wqi/A2L

[ICLR 2020] Learning to Move with Affordance Maps πŸ—ΊοΈπŸ€–πŸ’¨

Language: Python - Size: 817 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 31 - Forks: 2

basnijholt/adaptive-scheduler

Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. :tada:

Language: Python - Size: 935 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 30 - Forks: 11

Related Topics
machine-learning 163 deep-learning 79 python 55 pytorch 52 nlp 38 computer-vision 31 semi-supervised-learning 23 natural-language-processing 21 gaussian-processes 19 object-detection 18 bayesian-optimization 18 data-science 17 classification 16 reinforcement-learning 16 text-classification 15 annotation 14 artificial-intelligence 12 tensorflow 12 domain-adaptation 12 uncertainty-quantification 11 online-learning 11 annotation-tool 11 self-supervised-learning 10 python3 10 machine-learning-algorithms 10 labeling-tool 9 neural-network 9 segmentation 9 annotations 8 research 8 human-in-the-loop 8 image-classification 8 keras 8 transfer-learning 8 scikit-learn 8 named-entity-recognition 8 active-learning-in-nlp 8 semantic-segmentation 8 medical-imaging 7 experimental-design 7 transformers 7 ai 7 bert 7 clustering 6 optimization 6 supervised-learning 6 visualization 6 regression 6 anomaly-detection 6 adaptive-learning 6 weakly-supervised-learning 6 weak-supervision 6 text-annotation 6 data-labeling 6 pytorch-lightning 6 data-annotation 6 activelearning 6 image-segmentation 6 unsupervised-learning 6 medical-image-analysis 5 data-centric-ai 5 ner 5 neural-networks 5 asreview 5 labeling 5 spacy 5 concept-drift 5 nlp-machine-learning 5 convolutional-neural-networks 5 awesome-list 5 data-cleaning 5 transformer 5 active-domain-adaptation 5 point-cloud 5 systematic-reviews 5 uncertainty 5 data-visualization 5 mlops 5 dataset 5 medical-image-segmentation 5 deep-active-learning 5 education 5 logistic-regression 5 bayesian-deep-learning 4 ensemble-learning 4 active-learning-module 4 timed-automata 4 information-retrieval 4 instance-segmentation 4 bayesian-inference 4 noisy-labels 4 remote-sensing 4 random-forest-classifier 4 modal 4 llm 4 pytorch-implementation 4 sklearn 4 data-curation 4 image-retrieval 4 cnn 4