Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
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Natural Gradient Boosting for Probabilistic Prediction
Genetic Programming in Python, with a scikit-learn inspired API
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Self-contained Machine Learning and Natural Language Processing library in Go
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Interpretability and explainability of data and machine learning models
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
Python audio and music signal processing library
A selection of state-of-the-art research materials on trajectory prediction
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Machine Learning in R
A NSFW (aka porn) detector with CoreML
GoMLX: An Accelerated Machine Learning Framework For Go
Synthetic data generators for tabular and time-series data
On-line Machine Learning in Go (and so much more)
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Stream Processing and Complex Event Processing Engine
What's in your data? Extract schema, statistics and entities from datasets
Python Streaming DataFrames for Kafka
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
A curated list of resources for Document Understanding (DU) topic
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark