Artificial Intelligence and Machine Learning

Computer Science

Field Statistics

Total Projects: 370
Average Confidence: 61%

High Confidence (≥70%): 128
Medium Confidence (50-70%): 109
Low Confidence (<50%): 133

Field Keywords:
machine learning deep learning neural network artificial intelligence classification regression clustering supervised unsupervised reinforcement learning transformer cnn rnn lstm gan autoencoder bert gpt computer vision nlp
Common Packages:
tensorflow pytorch scikit-learn keras transformers opencv
Scientific Indicators:
training accuracy loss epoch dataset
Top Keywords from Projects
python (14) data-science (5) machine-learning (4) optimization (3) normalizing-flows (3) tda (2) topological-data-analysis (2) molecular-dynamics (2) persistent-homology (2) hyperparameter-optimization (2) river (2) r (2) climate-science (2) fish (2) dams (2) bayesian-inference (2) astronomy (2) cml (1) transit (1) aggregations (1)
Related Fields

Projects in Artificial Intelligence and Machine Learning (370)

wmpy-power 40% confidence

wmpy-power: A Python package for process-based regional hydropower simulation - Published in JOSS (2024)

Also in: Agricultural and Biological Sciences
Match signals: indicators: 40%
Science Score
100%
nimCSO 40% confidence

nimCSO: A Nim package for Compositional Space Optimization - Published in JOSS (2024)

data-analysis data-optimization data-science materials-informatics metaprogramming nim nim-lang
Match signals: indicators: 40%
Science Score
98%
mmdetection3d 40% confidence

Also in: Sociology
Match signals: indicators: 40%
Science Score
54%
Eaglescope 40% confidence

Eaglescope: an interactive visualization and cohort selection tool for biomedical data exploration. - Published in JOSS (2024)

Also in: Engineering
Match signals: indicators: 40%
Science Score
95%
Finding and removing introns from RNA-Seq de novo assemblies with IntronSeeker 40% confidence

Finding and removing introns from RNA-Seq de novo assemblies with IntronSeeker - Published in JOSS (2024)

Match signals: indicators: 40%
Science Score
93%
object_store_tutorial 40% confidence

Respository with examples on how to use the JASMIN high-performance object storage

Also in: Computer Science
Match signals: indicators: 40%
Science Score
65%
ids-drr-assam-risk-model 40% confidence

Intelligent Data Solution - Disaster Risk Reduction is a system to assist flood management in the state of Assam through data-driven ways. The repository contains codes to extract relevant datasets and the modelling approach used to calculate Risk Scores for each revenue circle in Assam.

data-engineering data-science disaster-management flood-mapping gis remote-sensing
Match signals: indicators: 40%
Science Score
26%
highwayenv 40% confidence

Match signals: indicators: 40%
Science Score
54%
ESAT 40% confidence

ESAT: Environmental Source Apportionment Toolkit Python package - Published in JOSS (2024)

Also in: Mathematics
Match signals: indicators: 40%
Science Score
98%
dia 40% confidence

dia: An R package for the National Oceanic and Atmospheric Administration dam impact analysis - Published in JOSS (2025)

dam-impact-analysis dams fish r-packages salmon simulation
Also in: Medicine
Match signals: indicators: 40%
Science Score
95%
Science Score
23%
studentlife 40% confidence

studentlife: Tidy Handling and Navigation of a Valuable Mobile-Health Dataset - Published in JOSS (2019)

Match signals: indicators: 40%
Science Score
93%
PyCHAM 40% confidence

PyCHAM: CHemistry with Aerosol Microphysics in Python - Published in JOSS (2020)

aerosol-chambers aerosol-microphysics atmospheric-modelling chemical-scheme indoor-air-quality scipy
Match signals: indicators: 40%
Science Score
95%
WEPPCLIFF 40% confidence

WEPPCLIFF: A command-line tool to process climate inputs for soil loss models - Published in JOSS (2020)

Match signals: indicators: 40%
Science Score
93%
Science Score
31%
ExoTiC-ISM 40% confidence

ExoTiC-ISM: A Python package for marginalised exoplanet transit parameters across a grid of systematic instrument models - Published in JOSS (2020)

Match signals: indicators: 40%
Science Score
95%
Badread 40% confidence

Badread: simulation of error-prone long reads - Published in JOSS (2019)

Also in: Biology, Mathematics
Match signals: indicators: 40%
Science Score
98%
BiRank 40% confidence

BiRank: Fast and Flexible Ranking on Bipartite Networks with R and Python - Published in JOSS (2020)

Also in: Sociology
Match signals: indicators: 40%
Science Score
95%
FIPS 40% confidence

FIPS: An R Package for Biomathematical Modelling of Human Fatigue Related Impairment - Published in JOSS (2020)

biomathematics fatigue human-factors modeling r rstats simulation
Also in: Earth and Environmental Sciences, Medicine
Match signals: indicators: 40%
Science Score
95%
LightLogR 40% confidence

LightLogR: Reproducible analysis of personal light exposure data - Published in JOSS (2025)

dosimetry light rstats-package time-series-analysis wearable-devices wearable-sensors
Match signals: indicators: 40%
Science Score
95%
SimuPy Flight Vehicle Toolkit 40% confidence

SimuPy Flight Vehicle Toolkit - Published in JOSS (2022)

Also in: Mathematics
Match signals: indicators: 40%
Science Score
95%
GHEtool 40% confidence

GHEtool: An open-source tool for borefield sizing in Python - Published in JOSS (2022)

borefields energy geothermal geothermal-energy sizing storage
Also in: Engineering
Match signals: indicators: 40%
Science Score
98%
BifacialSimu 40% confidence

BifacialSimu: Holistic Simulation of large-scale Bifacial Photovoltaic Systems - Published in JOSS (2022)

Match signals: indicators: 40%
Science Score
93%
matex 40% confidence

Code for extrapolation in materials property prediction as proposed in "Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules".

Also in: Engineering
Match signals: indicators: 40%
Science Score
62%
replicatebe.jl 40% confidence

Mixed model solution for replicate designed bioequivalence study.

bioequivalence bioequivalence-study ema-method-c mixed-model replicate
Match signals: indicators: 40%
Science Score
41%
mms_msg 40% confidence

Multipurpose Multi Speaker Mixture Signal Generator

Also in: Neuroscience
Match signals: indicators: 40%
Science Score
62%
High-performance neural population dynamics modeling enabled by scalable computational infrastructure 40% confidence

High-performance neural population dynamics modeling enabled by scalable computational infrastructure - Published in JOSS (2023)

Match signals: indicators: 40%
Science Score
100%
pysr3 40% confidence

pysr3: A Python Package for Sparse Relaxed Regularized Regression - Published in JOSS (2023)

Also in: Economics, Engineering
Match signals: indicators: 40%
Science Score
95%
tko 40% confidence

Transforming Knowledge Ontology: The Model Context Protocol

Also in: Engineering
Match signals: indicators: 40%
Science Score
44%
LenslessPiCam 40% confidence

LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi - Published in JOSS (2023)

admm bayer fista inverse-problems lensless python raspberry-pi signal-processing unrolled-algorithms
Match signals: indicators: 40%
Science Score
100%
GORILLA 40% confidence

GORILLA: Guiding-center ORbit Integration with Local Linearization Approach - Published in JOSS (2023)

fusion-reactor guiding-center hamiltonian-systems kinetic-modeling numerical-integration numerical-methods plasma-physics simulation stellarator tokamak
Also in: Materials Science
Match signals: indicators: 40%
Science Score
93%
hybridassembly 40% confidence

Hybrid de novo assembly pipeline for whole-genome human datasets

assembly bioinformatics nanopore
Match signals: indicators: 40%
Science Score
54%
064-transfer-learning-in-cross-domain-sequential-recommendation 40% confidence

Match signals: indicators: 40%
Science Score
41%
Geodata-Harvester 40% confidence

Geodata-Harvester: A Python package to jumpstart geospatial data extraction and analysis - Published in JOSS (2023)

Also in: Earth and Environmental Sciences, Engineering
Match signals: indicators: 40%
Science Score
98%
Bernadette 40% confidence

Bernadette: Bayesian Inference and Model Selection for Stochastic Epidemics in R - Published in JOSS (2023)

Also in: Physics
Match signals: indicators: 40%
Science Score
93%
BlackBIRDS 40% confidence

BlackBIRDS: Black-Box Inference foR Differentiable Simulators - Published in JOSS (2023)

bayesian-inference differentiable-programming pytorch
Match signals: indicators: 40%
Science Score
98%
pyflowline 40% confidence

pyflowline: a mesh-independent river network generator for hydrologic models - Published in JOSS (2023)

earth-system-model gis graph hydrology river
Match signals: indicators: 40%
Science Score
98%
rent-and-security-in-melb-suburbs 40% confidence

Match signals: indicators: 40%
Science Score
44%
ER-Evaluation 40% confidence

ER-Evaluation: End-to-End Evaluation of Entity Resolution Systems - Published in JOSS (2023)

author-name-disambiguation data-science deduplication disambiguation duplicate-detection entity-resolution evaluation fuzzy-matching inventor-name-disambiguation matching +4 more
Match signals: indicators: 40%
Science Score
67%
NEMSEER 40% confidence

NEMSEER: A Python package for downloading and handling historical National Electricity Market forecast data produced by the Australian Energy Market Operator - Published in JOSS (2023)

aemo australia energy forecast national-electricity-market nem nemweb pasa pre-dispatch python
Also in: Earth and Environmental Sciences, Medicine
Match signals: indicators: 40%
Science Score
100%
Aletheia 40% confidence

Aletheia: an open-source toolbox for steganalysis - Published in JOSS (2024)

Also in: Engineering
Match signals: indicators: 40%
Science Score
95%
Φ-ML 40% confidence

Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy - Published in JOSS (2024)

Also in: Mathematics
Match signals: indicators: 40%
Science Score
98%
LINFA 40% confidence

LINFA: a Python library for variational inference with normalizing flow and annealing - Published in JOSS (2024)

annealing computational-expensive-models normalizing-flows variational-inference
Match signals: indicators: 40%
Science Score
95%
covid-19-todesfaelle_in_deutschland 40% confidence

Im Datensatz 'COVID-19-Todesfälle in Deutschland' werden die Todesfälle in Bezug auf COVID-19 in Deutschland bereitgestellt. Darüber hinaus wird neben der Anzahl der übermittelten Todesfälle der Fall-Verstorbenen-Anteil berechnet. Angaben zum Tod zählen zu den melde- und übermittlungspflichtigen Inhalten. Bei der Ermittlung von Todesfällen und d...

covid-19 deutschland germany open-data rki sars-cov-2 todesfaelle
Match signals: indicators: 40%
Science Score
67%
surtvep 40% confidence

surtvep: An R package for estimating time-varying effects - Published in JOSS (2024)

Also in: Earth and Environmental Sciences, Engineering
Match signals: indicators: 40%
Science Score
95%
AMLTK 40% confidence

AMLTK: A Modular AutoML Toolkit in Python - Published in JOSS (2024)

Match signals: indicators: 40%
Science Score
100%
ag_sklearn 39% confidence

A fork of diffprivlib for CODEPEAK 2023 to extend the functionality

Match signals: readme: 10% packages: 83%
Science Score
18%
'Sequana' 39% confidence

'Sequana': a Set of Snakemake NGS pipelines - Published in JOSS (2017)

coverage de-novo ngs pacbio rna-seq sequanix snakemake taxonomy variant-calling
Match signals: readme: 10% packages: 83%
Science Score
95%
SelfEEG 38% confidence

SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography - Published in JOSS (2024)

deep-learning eeg self-supervised-learning
Match signals: keywords: 10% packages: 83% indicators: 60%
Science Score
100%
PyCCEA 38% confidence

PyCCEA: A Python package of cooperative co-evolutionary algorithms for feature selection in high-dimensional data - Published in JOSS (2025)

classification-tasks cooperative-coevolution evolutionary-algorithms feature-selection high-dimensional-data machine-learning python regression-tasks supervised-learning
Match signals: keywords: 20% packages: 83% indicators: 20%
Science Score
93%
bert-sms-classification 38% confidence

My second project in Natural Language Processing (NLP), where I fine-tuned a bert-base-uncased model to classify spam SMS. This is huge improvements from https://github.com/fzn0x/bert-indonesian-english-hate-comments.

Match signals: readme: 5% packages: 87% indicators: 40%
Science Score
31%
symbolicai 38% confidence

A neurosymbolic perspective on LLMs

large-language-models neurosymbolic-ai probabilistic-programming
Match signals: readme: 5% packages: 87%
Science Score
54%
cam2bev 37% confidence

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

autonomous-vehicles birds-eye-view computer-vision deep-learning ipm machine-learning segmentation sim2real simulation
Match signals: keywords: 9% packages: 83% indicators: 60%
Science Score
59%
Fast k-medoids Clustering in Rust and Python 37% confidence

Fast k-medoids Clustering in Rust and Python - Published in JOSS (2022)

Match signals: readme: 5% packages: 83% indicators: 40%
Science Score
77%
ds3_annotated 37% confidence

Match signals: readme: 5% packages: 83% indicators: 40%
Science Score
54%
SPICY 36% confidence

SPICY: a Python toolbox for meshless assimilation from image velocimetry using radial basis functions - Published in JOSS (2024)

Match signals: readme: 5% packages: 83%
Science Score
95%
Ripser.py 36% confidence

Ripser.py: A Lean Persistent Homology Library for Python - Published in JOSS (2018)

data-science homology persistent-homology ripser tda topological-data-analysis topology
Match signals: readme: 5% packages: 83%
Science Score
95%
Confidence Intervals for Random Forests in Python 36% confidence

Confidence Intervals for Random Forests in Python - Published in JOSS (2017)

Match signals: readme: 10% packages: 83% indicators: 20%
Science Score
95%
boxmot 36% confidence

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

boosttrack botsort bytetrack clip deep-learning deepocsort improvedassociation machine-learning mot mots +10 more
Match signals: keywords: 6% packages: 83% indicators: 60%
Science Score
77%
PySensors 34% confidence

PySensors: A Python package for sparse sensor placement - Published in JOSS (2021)

optimization-tools sensor sensor-placement sensors
Match signals: readme: 5% packages: 83% indicators: 20%
Science Score
95%
graphenv 33% confidence

graphenv: a Python library for reinforcement learning on graph search spaces - Published in JOSS (2022)

graph-algorithms gym-environment machine-learning python ray reinforcement-learning
Match signals: keywords: 6% packages: 87%
Science Score
93%
UnlockNN 32% confidence

UnlockNN: Uncertainty quantification for neural network models of chemical systems - Published in JOSS (2022)

chemistry keras machine-learning materials-science python tensorflow-probability
Match signals: keywords: 5% packages: 83% indicators: 40%
Science Score
93%
PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms 32% confidence

PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms - Published in JOSS (2024)

algorithm automl bandit-algorithms blackbox-optimization continuous-armed-bandit data-science hyperparameter-optimization hyperparameter-tuning lipschitz-bandit machine-learning +6 more
Match signals: keywords: 6% packages: 83%
Science Score
100%
Choice-Learn 32% confidence

Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning - Published in JOSS (2024)

assortment choice choice-model choice-modeling conditional-logit-model deep discrete-choice-models gurobi learning machine +10 more
Match signals: keywords: 8% packages: 87% indicators: 20%
Science Score
98%
Osprey 32% confidence

Osprey: Hyperparameter Optimization for Machine Learning - Published in JOSS (2016)

cross-validation hyperparameter-optimization machine-learning models optimization pretty-logo python scikit-learn
Match signals: keywords: 9% packages: 83% indicators: 20%
Science Score
95%
BayesO 31% confidence

BayesO: A Bayesian optimization framework in Python - Published in JOSS (2023)

bayesian-optimization hyperparameter-optimization machine-learning
Match signals: keywords: 5% packages: 83%
Science Score
98%
pyGPGO 31% confidence

pyGPGO: Bayesian Optimization for Python - Published in JOSS (2017)

bayesian machine-learning optimization
Match signals: keywords: 5% packages: 83%
Science Score
46%
ECNet 31% confidence

ECNet: Large scale machine learning projects for fuel property prediction - Published in JOSS (2017)

cetane-number computational-chemistry fuel-property-prediction machine-learning neural-network pytorch qspr
Match signals: keywords: 8% packages: 83% indicators: 20%
Science Score
54%
deeplearn 31% confidence

General deep learning tools

bilstm-crf convolutional-neural-networks crf deep-learning pypi pypi-link pytorch pytorch-cnn utility vectorized-features
Match signals: readme: 10% keywords: 13% packages: 83% indicators: 60%
Science Score
44%
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science 30% confidence

Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science - Published in JOSS (2024)

chemistry data-science datasets machine-learning materials-science
Match signals: keywords: 5% packages: 87% indicators: 20%
Science Score
95%