47,133 repositories indexed
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Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Visualize and compare datasets, target values and associations, with one line of code.
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Shōgun
StellarGraph - Machine Learning on Graphs
Quantitative analysis, strategies and backtests
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
A curated list of community detection research papers with implementations.
Interactive Go programming with Jupyter
An intuitive library to add plotting functionality to scikit-learn objects.
Feature engineering and selection open-source Python library compatible with sklearn.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
a curated list of R tutorials for Data Science, NLP and Machine Learning
CLI task management & automation tool
The Universal Storage Engine
Python Stream Processing
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
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.).
A curated list of data mining papers about fraud detection.
Easily install and load packages from the tidyverse