GitHub topics: active-learning
baal-org/baal
Bayesian active learning library for research and industrial usecases.
Language: Python - Size: 44.8 MB - Last synced at: about 4 hours ago - Pushed at: 12 months ago - Stars: 900 - Forks: 87
poyentung/balsa
Benchmark suite for active learning (with surrogate models) in scientific discovery, featuring standardised tasks in materials science and biology
Language: Python - Size: 3.86 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 5 - Forks: 0
kschwethelm/DPAL
SATML 2025 | Differentially Private Active Learning | Official Implementation
Language: Python - Size: 342 KB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
scbirlab/duvida
🧐 Calculating exact and approximate confidence and information metrics for deep learning on general purpose and chemistry tasks.
Language: Python - Size: 21.7 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
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 days ago - Pushed at: 3 days ago - Stars: 182 - Forks: 37
SupeRuier/awesome-active-learning
Everything you need about Active Learning (AL).
Size: 2 MB - Last synced at: about 4 hours ago - Pushed at: about 1 year ago - Stars: 900 - Forks: 82
asreview/asreview
Active learning for systematic reviews
Language: Python - Size: 159 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 742 - Forks: 131
ronniross/asi-active-learning-dataset
A collection of ML-related active learning datasets, including algorithms, .ipynb pipelines, .py scripts and curated and ethically aligned synthetic data.
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 3 - Forks: 0
carls31/active-learning-virtual-SVM
Active Learning with Constrained Virtual Support Vector Machines for Classification of Earth Observation Data
Language: R - Size: 808 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
Servat0r/Continual-and-Active-Learning-for-Tokamak-Digital-Twins
Master Thesis in CS @ Unipi, a.y. 2024-2025. The project is about applying Continual and Active Learning techniques for learning surrogate models of tokamak turbulence.
Language: Python - Size: 1010 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0
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: 4 days ago - Stars: 37 - Forks: 13
basnijholt/adaptive-scheduler
Run many functions (adaptively) on many cores (>10k-100k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. :tada:
Language: Python - Size: 944 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 30 - Forks: 11
voxel51/fiftyone
Refine high-quality datasets and visual AI models
Language: Python - Size: 1.96 GB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 9,570 - Forks: 639
experimental-design/bofire
Experimental design and (multi-objective) bayesian optimization.
Language: Jupyter Notebook - Size: 56.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 290 - Forks: 32
mcity/mcity_data_engine
Mcity Data Engine
Language: Python - Size: 22.3 MB - Last synced at: 18 minutes ago - Pushed at: 5 days ago - Stars: 13 - Forks: 0
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: 4.98 MB - Last synced at: 3 days ago - Pushed at: 5 days ago - Stars: 211 - Forks: 19
qqaazz800624/personalized_seg
Personalized segmentation adapts a pretrained model to institution-specific annotation standards using limited labeled data and uncertainty-guided sample selection.
Language: Python - Size: 95.7 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
not2much/se4ai
Minimal ai
Language: Python - Size: 972 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
Joalex2009/asi-active-learning-dataset
Explore the ASI Active Learning Dataset, a valuable resource for machine learning enthusiasts, featuring ethically aligned synthetic datasets and essential scripts. Dive into the structured modules to enhance your active learning experiments! 🐙📊
Language: Jupyter Notebook - Size: 791 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
inception-project/inception
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
Language: Java - Size: 130 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 637 - Forks: 160
ntucllab/libact
Pool-based active learning in Python
Language: Python - Size: 1.86 MB - Last synced at: 5 days ago - Pushed at: about 2 months ago - Stars: 788 - Forks: 173
HFooladi/molax
Molecular active learning with JAX
Language: Python - Size: 62.5 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0
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: 650 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 101 - Forks: 6
Project-MONAI/MONAILabel
MONAI Label is an intelligent open source image labeling and learning tool.
Language: Python - Size: 53.3 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 722 - Forks: 224
emdgroup/baybe
Bayesian Optimization and Design of Experiments
Language: Python - Size: 69.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 363 - Forks: 57
CogStack/MedCATtrainer
A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.
Language: Python - Size: 11.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 81 - Forks: 35
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: 9 days ago - Pushed at: over 2 years ago - Stars: 151 - Forks: 27
bursasha/ml-job-manager
ML scientific job orchestration platform: FastAPI API, Celery Worker, PostgreSQL DB, RabbitMQ broker, and React frontend for spectral analysis, data preprocessing, and active‐learning workflows 🪐
Language: Python - Size: 594 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0
eugene-yang/tarexp
An opensource TAR framework for experiments and applications
Language: Python - Size: 3.98 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 0
MorrisGlr/HEART
HTML‐to‐Anki Enhanced Human Explanation & Reasoning Tool (HEART). A Python CLI that leverages the OpenAI API to transform full UWorld vignettes into AI-enhanced Anki cards.
Language: Python - Size: 268 KB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
coleygroup/molpal
active learning for accelerated high-throughput virtual screening
Language: Jupyter Notebook - Size: 249 MB - Last synced at: 10 days ago - Pushed at: 12 months ago - Stars: 184 - Forks: 40
microsoft/protein-uq
Benchmarking uncertainty quantification methods on proteins.
Language: Jupyter Notebook - Size: 131 MB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 21 - Forks: 4
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: 12 days ago - Pushed at: 12 days ago - Stars: 4,519 - Forks: 433
ivannz/mlss2019-bayesian-deep-learning
MLSS2019 Tutorial on Bayesian Deep Learning
Language: Jupyter Notebook - Size: 189 KB - Last synced at: 10 days ago - Pushed at: over 5 years ago - Stars: 92 - Forks: 34
webis-de/small-text
Active Learning for Text Classification in Python
Language: Python - Size: 3.04 MB - Last synced at: about 8 hours ago - Pushed at: about 9 hours ago - Stars: 618 - Forks: 70
deepmodeling/dpgen
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
Language: Python - Size: 8.19 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 342 - Forks: 178
Weizhe-Chen/PyPolo
A Python library for Robotic Information Gathering
Language: Python - Size: 34.3 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 44 - Forks: 5
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: 13 days ago - Pushed at: 8 months ago - Stars: 8,569 - Forks: 1,933
matyascorvinus/RL_FRBUS
RL-FRB/US - The novel method which enhance the FRB/US model by Reinforcement Learning and Active Relocation algorithms
Language: Python - Size: 55.6 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0
ziatdinovmax/gpax
Gaussian Processes for Experimental Sciences
Language: Python - Size: 53.3 MB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 222 - Forks: 29
Bin-Cao/Bgolearn
[Materials & Design 2024 | NPJ com mat 2024] A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning
Language: Jupyter Notebook - Size: 420 MB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 91 - Forks: 15
label-sleuth/label-sleuth
Open source no-code system for text annotation and building of text classifiers
Language: Python - Size: 227 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 261 - Forks: 40
sgbaird/honegumi
Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.
Language: Jupyter Notebook - Size: 56.4 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 54 - Forks: 7
python-adaptive/adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Language: Python - Size: 5.7 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1,190 - Forks: 60
modAL-python/modAL
A modular active learning framework for Python
Language: Python - Size: 9.13 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 2,286 - Forks: 325
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: 22 days ago - Pushed at: over 1 year ago - Stars: 719 - Forks: 35
RTIInternational/SMART
Smarter Manual Annotation for Resource-constrained collection of Training data
Language: Python - Size: 129 MB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 228 - Forks: 32
microsoft/MLOpsTemplate
Providing tools and templates to facilitate modern MLOps practices
Language: Jupyter Notebook - Size: 32.8 MB - Last synced at: 2 days ago - Pushed at: 10 months ago - Stars: 84 - Forks: 266
scikit-activeml/scikit-activeml
scikit-activeml: Python library for active learning on top of scikit-learn
Language: Python - Size: 64.2 MB - Last synced at: 23 days ago - Pushed at: 30 days ago - Stars: 166 - Forks: 19
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: 26 days ago - Pushed at: 26 days ago - Stars: 449 - Forks: 26
Lambard-ML-Team/MADGUI
User-friendly Graphical User Interface (GUI) developed at the National Institute for Materials Science (NIMS) for performing statistical data analysis, machine learning (ML) modelisation, and composition/process optimisation through active learning assisted by Bayesian optimisation
Language: Python - Size: 22.4 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 14 - Forks: 3
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: 27 days ago - Pushed at: 2 months ago - Stars: 10,536 - Forks: 826
explosion/prodigy-recipes
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: 22 days ago - Pushed at: 10 months ago - Stars: 493 - Forks: 116
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: 25 days ago - Pushed at: 6 months ago - Stars: 1,438 - Forks: 71
Plant-Food-Research-Open/calisim
A toolbox for the calibration and evaluation of simulation models.
Language: Python - Size: 7.32 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 14 - Forks: 2
jonhue/activeft
PyTorch library for Active Fine-Tuning
Language: Python - Size: 354 KB - Last synced at: 26 days ago - Pushed at: 4 months ago - Stars: 74 - Forks: 7
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: 10 days ago - Pushed at: about 2 months ago - Stars: 65 - Forks: 12
shibing624/labelit
labelit, label tool with active learning, for classification task. 自动标注，基于主动学习，边标注边学习，减少人工标注量。
Language: Python - Size: 234 KB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 29 - Forks: 6
BlackHC/batchbald_redux
Reusable BatchBALD implementation
Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 78 - Forks: 13
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: about 1 month ago - Pushed at: over 2 years ago - Stars: 882 - Forks: 116
Bgolearn/BgoFace
A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning | 【BgoFace软件分享】BiliBili link
Language: Python - Size: 5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 0
gscnogueira/Hardness-Sampling
This repository contains the code and data used for the experiments described in the paper "Hardness Sampling: Exploring Instance Hardness in Pool-based Active Learning", subimitted to the Knowledge-Based Systems journal.
Language: Jupyter Notebook - Size: 293 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
gitter-lab/active-learning-drug-discovery
Iterative chemical screening pipeline for drug discovery
Language: Jupyter Notebook - Size: 102 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 5 - Forks: 0
ANSSI-FR/SecuML
Machine Learning for Computer Security
Language: Python - Size: 12.5 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 275 - Forks: 60
ej0cl6/deep-active-learning
Deep Active Learning
Language: Python - Size: 40 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 832 - Forks: 186
ramhiser/activelearning
Active Learning in R
Language: R - Size: 896 KB - Last synced at: 14 days ago - Pushed at: about 8 years ago - Stars: 47 - Forks: 12
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: 3 days ago - Pushed at: over 3 years ago - Stars: 174 - Forks: 23
dholzmueller/bmdal_reg
Deep Batch Active Learning for Regression
Language: Python - Size: 724 KB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 67 - Forks: 5
HFooladi/bayesoptimol
Bayesian optimization and active learning in drug discovery
Language: Python - Size: 3.73 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
baifanxxx/awesome-active-learning
A curated list of awesome Active Learning
Size: 198 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 764 - Forks: 70
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: about 1 month ago - Pushed at: about 2 years ago - Stars: 67 - Forks: 12
yasminenahal/hitl-al-gomg
Active learning workflow to train and fine-tune molecular property predictors with chemist feedback for goal-oriented molecule generation.
Language: Jupyter Notebook - Size: 1.46 GB - Last synced at: 30 days ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 1
pietrolesci/anchoral
This is the official PyTorch implementation for our NAACL 2024 paper: "AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets".
Language: Python - Size: 424 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 20 - Forks: 1
Sakshi-K-Yadav/Flashcard-app
A simple and efficient python application to make your learning experience fun. Flashcards are active recall methods guaranteed to improve learning.
Language: Python - Size: 6.84 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
QuantumMisaka/dpeva
Deep Potential Evolution Accelerator
Language: Python - Size: 29.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 16 - Forks: 0
microsoft/aerial_wildlife_detection
Tools for detecting wildlife in aerial images using active learning
Language: Python - Size: 33.5 MB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 235 - Forks: 56
doccano/doccano-client
A simple client for doccano API.
Language: Python - Size: 1.41 MB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 85 - Forks: 66
ilanaliouchouche/Bayesian-Active-Learning-Interface-for-Medical-Imaging
This project aims to integrate Domain Knowledge with Bayesian Deep Learning through an intuitive Active Learning interface
Language: JavaScript - Size: 96 MB - Last synced at: 5 days ago - Pushed at: 4 months ago - Stars: 11 - Forks: 0
BAMresearch/MAPz_at_BAM
Materials Acceleration Platform Center at BAM
Language: Python - Size: 47.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0
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: about 2 months ago - Pushed at: over 1 year ago - Stars: 103 - Forks: 18
redmod-team/profit
Probabilistic Response mOdel Fitting with Interactive Tools
Language: Python - Size: 3.71 MB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 15 - Forks: 10
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: about 1 month ago - Pushed at: over 4 years ago - Stars: 143 - Forks: 54
MSDLLCpapers/obsidian
Algorithmic process optimization and AI experiment design
Language: Python - Size: 12.2 MB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 31 - Forks: 5
ZhangYuanhan-AI/Bamboo
[IJCV] Bamboo: 4 times larger than ImageNet; 2 time larger than Object365; Built by active learning.
Language: Python - Size: 5.41 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 176 - Forks: 7
lamalab-org/pyepal
Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
Language: Python - Size: 10.5 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 40 - Forks: 6
ArsamAryandoust/DataSelectionMaps 📦
Enhanced spatio-temporal electric load forecasts with less data using active deep learning
Language: Jupyter Notebook - Size: 875 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 4
novonordisk-research/BEE-BO
Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)
Language: Python - Size: 6.1 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 9 - Forks: 1
kmalialis/siameseduo
SiameseDuo++ (Neurcomputing 2025)
Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
aim-uofa/DiverGen
DiverGen (CVPR 2024) & BSGAL (ICML 2024)
Language: Python - Size: 7.14 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 45 - Forks: 2
stsievert/salmon
A tool to collect triplet queries
Language: Python - Size: 119 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 2
ChenhongyiYang/PPAL
[CVPR 2024] Plug and Play Active Learning for Object Detection
Language: Python - Size: 2.62 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 97 - Forks: 13
yongjin-shin/awesome-active-learning
Awesome Active Learning Paper List
Size: 32.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 141 - Forks: 18
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: 2 months ago - Pushed at: almost 4 years ago - Stars: 121 - Forks: 15
matsuo-shinnosuke/ISOAL
Instance-wise Supervision-level Optimization in Active Learning in CVPR2025
Language: Python - Size: 549 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
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: about 1 month ago - Pushed at: over 3 years ago - Stars: 53 - Forks: 2
stefanoteso/awesome-explanatory-supervision
List of relevant resources for machine learning from explanatory supervision
Language: TeX - Size: 207 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 157 - Forks: 16
Mojusko/experiment-design-mdp
Python library for adaptive experiment design with state-of-art ML tools
Language: Python - Size: 15.4 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 9 - Forks: 0
Cnerd-Mahadi/litol_app
An implementation of a web app based on a thesis on active learning methods catering the student demography. Implements features like Summarization, Cornell Note Taking, Mind Mapping and Feynman Technique. Used by more than 60+ users.
Language: TypeScript - Size: 11.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
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: about 1 month ago - Pushed at: over 2 years ago - Stars: 211 - Forks: 43
FrederikBornemann/SyReAL
Symbolic Regression and Active Learning
Language: Jupyter Notebook - Size: 32.9 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
