Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
- gbdt
- gbrt
- gbm
- distributed-systems
Repository Index
47,133 repositories indexed
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A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
- gbdt
- gbm
- machine-learning
- data-mining
Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
- deep-reinforcement-learning
- reinforcement-learning
- dqn
- ppo
☠️ An elegant way to show users that something is happening and also prepare them to which contents they are awaiting
- swift
- skeleton
- placeholder
- gradients
An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Fit interpretable models. Explain blackbox machine learning.
- machine-learning
- interpretability
- gradient-boosting
- blackbox
Gorgonia is a library that helps facilitate machine learning in Go.
- machine-learning
- artificial-intelligence
- neural-network
- computation-graph
CSS custom properties to help accelerate adaptive and consistent design.
- css
- css-utilites
- css-custom-properties
- css-custom-media-queries
Create fluid and interactive gradient animations with this small javascript library.
- fluid
- gradient
- animation
Android StackBlur is a library that can perform a blurry effect on a Bitmap based on a gradient or radius, and return the result. The library is based on the code of Mario Klingemann.
:art: Hue is the all-in-one coloring utility that you'll ever need.
- hue
- hex
- color
- gradient
🎨 Gradient animation effect like Instagram
- swift
- gradient
- animation
Yet another extension to manipulate colors easily in Swift and SwiftUI
- uicolor
- nscolor
- gradient
- color
A collection of research papers on decision, classification and regression trees with implementations.
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine
Optax is a gradient processing and optimization library for JAX.
C# library for 2D/3D geometric computation, mesh algorithms, and so on. Boost license.
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
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.).