Intracranial Electrode Location and Analysis in MNE-Python
Intracranial Electrode Location and Analysis in MNE-Python - Published in JOSS (2022)
Flux
Flux: Elegant machine learning with Julia - Published in JOSS (2018)
imodels
imodels: a python package for fitting interpretable models - Published in JOSS (2021)
PyCM
PyCM: Multiclass confusion matrix library in Python - Published in JOSS (2018)
sbi reloaded
sbi reloaded: a toolkit for simulation-based inference workflows - Published in JOSS (2025)
samgeo
samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM) - Published in JOSS (2023)
TorchGAN
TorchGAN: A Flexible Framework for GAN Training and Evaluation - Published in JOSS (2021)
gmr
gmr: Gaussian Mixture Regression - Published in JOSS (2021)
Verde
Verde: Processing and gridding spatial data using Green’s functions - Published in JOSS (2018)
Machine Learning Validation via Rational Dataset Sampling with astartes
Machine Learning Validation via Rational Dataset Sampling with astartes - Published in JOSS (2023)
Physics-Informed Neural networks for Advanced modeling
Physics-Informed Neural networks for Advanced modeling - Published in JOSS (2023)
torchquad
torchquad: Numerical Integration in Arbitrary Dimensions with PyTorch - Published in JOSS (2021)
DeepRiver
DeepRiver: A Deep Learning Library for Data Streams - Published in JOSS (2025)
tpcp
tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation - Published in JOSS (2023)
f3dasm
f3dasm: Framework for Data-Driven Design and Analysis of Structures and Materials - Published in JOSS (2024)
InvertibleNetworks.jl
InvertibleNetworks.jl: A Julia package for scalable normalizing flows - Published in JOSS (2024)
VeridicalFlow
VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS - Published in JOSS (2022)
PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms
PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms - Published in JOSS (2024)
sorn
sorn: A Python package for Self Organizing Recurrent Neural Network - Published in JOSS (2021)
timeseriesflattener
timeseriesflattener: A Python package for summarizing features from (medical) time series - Published in JOSS (2023)
PyVBMC
PyVBMC: Efficient Bayesian inference in Python - Published in JOSS (2023)
BayesO
BayesO: A Bayesian optimization framework in Python - Published in JOSS (2023)
PyBCI
PyBCI: A Python Package for Brain-Computer Interface (BCI) Design - Published in JOSS (2023)
MapReader
MapReader: Open software for the visual analysis of maps - Published in JOSS (2024)
FTorch
FTorch: a library for coupling PyTorch models to Fortran - Published in JOSS (2025)
TorchMetrics - Measuring Reproducibility in PyTorch
TorchMetrics - Measuring Reproducibility in PyTorch - Published in JOSS (2022)
AddaxAI
AddaxAI: A no-code platform to train and deploy custom YOLOv5 object detection models - Published in JOSS (2023)
GNS
GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling - Published in JOSS (2023)
ChainoPy
ChainoPy: A Python Library for Discrete Time Markov Chain Based Stochastic Analysis - Published in JOSS (2024)
SIRUS.jl
SIRUS.jl: Interpretable Machine Learning via Rule Extraction - Published in JOSS (2023)
AdaptiveResonance.jl
AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms - Published in JOSS (2022)
MOTrainer
MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications - Published in JOSS (2024)
fseval
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms - Published in JOSS (2022)
hdlib
hdlib: A Python library for designing Vector-Symbolic Architectures - Published in JOSS (2023)
ClusterValidityIndices.jl
ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning - Published in JOSS (2022)
Spiral
Spiral: splitters for identifiers in source code files - Published in JOSS (2018)
ATHENA
ATHENA: A Fortran package for neural networks - Published in JOSS (2024)
GATree
GATree: Evolutionary decision tree classifier in Python - Published in JOSS (2024)
ExpFamilyPCA.jl
ExpFamilyPCA.jl: A Julia Package for Exponential Family Principal Component Analysis - Published in JOSS (2025)
deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Pyheartlib
Pyheartlib: A Python package for processing electrocardiogram signals - Published in JOSS (2024)
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Oceananigans.jl
Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs - Published in JOSS (2020)
MarSwitching.jl
MarSwitching.jl: A Julia package for Markov switching dynamic models - Published in JOSS (2024)
Efficiently Learning Relative Similarity Embeddings with Crowdsourcing
Efficiently Learning Relative Similarity Embeddings with Crowdsourcing - Published in JOSS (2023)
sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
MACE
MACE: a Machine-learning Approach to Chemistry Emulation - Published in JOSS (2025)
hivemind
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
MLMOD
MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPS - Published in JOSS (2023)
boxmot
BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models
pypots
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
datasets
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
skpro
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
GPJax
GPJax: A Gaussian Process Framework in JAX - Published in JOSS (2022)
gladia-torchaudio
Data manipulation and transformation for audio signal processing, powered by PyTorch
flaml
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
heat
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
cebra
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
ersilia
The Ersilia Model Hub, a repository of AI/ML models for infectious and neglected disease research.
scikit-activeml
scikit-activeml: Python library for active learning on top of scikit-learn
quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
tensorcircuit
Tensor network based quantum software framework for the NISQ era
srai
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
nobrainer
A framework for developing neural network models for 3D image processing.
RxInfer
RxInfer: A Julia package for reactive real-time Bayesian inference - Published in JOSS (2023)
t-elf
Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.
cheetah-accelerator
Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.
DEEPaaS API
DEEPaaS API: a REST API for Machine Learning and Deep Learning models - Published in JOSS (2019)
tensorcircuit-ng
The next-gen tensor network based quantum software framework: superseding the original TensorCircuit
pytextrank
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
torch-pme
Particle-mesh based calculations of long-range interactions in PyTorch
onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
nrel-sup3r
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.