Fit interpretable models. Explain blackbox machine learning.
- machine-learning
- interpretability
- gradient-boosting
- blackbox
47,133 repositories indexed
241–264 of 700 · Most stars
Fit interpretable models. Explain blackbox machine learning.
A Python scikit for building and analyzing recommender systems
Instant Kubernetes-Native Application Observability
Statistical Machine Intelligence & Learning Engine
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
A list of useful Java frameworks, libraries, software and hello worlds examples
A scikit-learn compatible neural network library that wraps PyTorch
🌊 Online machine learning in Python
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
OpenCV wrapper for .NET
Uplift modeling and causal inference with machine learning algorithms
The Swift machine learning library.
header only, dependency-free deep learning framework in C++14
A system for quickly generating training data with weak supervision
Gorgonia is a library that helps facilitate machine learning in Go.
mlpack: a fast, header-only C++ machine learning library
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
Deep Reinforcement Learning for Keras.
A C++ standalone library for machine learning
NVIDIA cuML: GPU-Accelerated Machine Learning
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark