modular quant framework.
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Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
- machine-learning
- ml
- model-validation
- data-validation
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
- collaborative-filtering
- machine-learning
- matrix-factorization
- recommender-system
A python library for self-supervised learning and latent world models on images.
- deep-learning
- self-supervised-learning
- machine-learning
- computer-vision
Fast, flexible and easy to use probabilistic modelling in Python.
- python
- machine-learning
- probabilistic-graphical-models
- pytorch
Seamlessly integrate LLMs into scikit-learn.
Visual tracking library based on PyTorch.
- computer-vision
- tracking
- machine-learning
- visual-tracking
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Accelerated deep learning R&D
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
Visualize and compare datasets, target values and associations, with one line of code.
- pandas-dataframe
- eda
- pandas
- data-exploration
:sunglasses: A curated list of robotics libraries and software
- robotics-libraries
- multibody-dynamics
- simulation
- robotics
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
Data manipulation and transformation for audio signal processing, powered by PyTorch
- audio
- python
- io
- speech
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
POT : Python Optimal Transport
- optimal-transport
- numerical-optimization
- machine-learning
- emd
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery
A collection of research papers on decision, classification and regression trees with implementations.
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine