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
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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
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
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
A curated list of Monte Carlo tree search papers with implementations.
- tree-search
- learning
- machine-learning
- deep-learning
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- python
- machine-learning
- random-forest
- tensorflow
🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
High performance gradient boosting for Ruby
- machine-learning
- xgboost
- rubyml
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
High performance gradient boosting for Ruby
- machine-learning
- lightgbm
- rubyml
Ruby Scoring API for PMML
- ruby-gem
- pmml
- random-forest
- classification
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
- fine-tuning
- vgg16
- resnet18
- densenet121
CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀
- cgo
- golang
- deep-learning
- gradient-boosting