(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
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Interpretability and explainability of data and machine learning models
- explainable-ai
- explainable-ml
- trusted-ai
- trusted-ml
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
- interview-practice
- interview-test-task
- language-learning
- coding-interview
Python audio and music signal processing library
- audio-analysis
- signal-processing
- machine-learning
- music-information-retrieval
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
- healthcare
- data-mining
- deep-learning
- preprocessing
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
What's in your data? Extract schema, statistics and entities from datasets
- python
- privacy
- pii
- npi
Python Streaming DataFrames for Kafka
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
OpenMMLab Foundational Library for Training Deep Learning Models
moDel Agnostic Language for Exploration and eXplanation
- machine-learning
- interpretability
- data-science
- xai
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
- pointcloud
- convolutional-neural-networks
- deep-neural-networks
- machine-learning
Metric learning algorithms in Python
- python
- metric-learning
- scikit-learn
- machine-learning
gradslam is an open source differentiable dense SLAM library for PyTorch
Extra blocks for scikit-learn pipelines.
- scikit-learn
- machine-learning
- common-sense
A research toolkit for particle swarm optimization in Python
- particle-swarm-optimization
- optimization-tools
- pso
- global-optimization
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
Scalable machine 🤖 learning for time series forecasting.
- forecast
- forecasting
- machine-learning
- lightgbm
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- bayesian-optimization
- bayesian-optimisation
- hyperparameter-optimization
- hyperparameter-tuning
Earth observation processing framework for machine learning in Python
- machine-learning
- eo-data
- eo-research
- python-package
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
- adaptive-learning
- machine-learning
- python
- live-plots