C Plus Plus
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Ml AutomationReview before use
34.4KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
Results · “boosting-algorithms”
1–16 / 30
More filters · 1
Results: 30
C
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Ml AutomationReview before use
22.2KGitHub
LightGBM
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
Ml AutomationReview before use
18.5KGitHub
Benchm Ml
szilard
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…
Ml AutomationReview before use
1.9KGitHub
GeneticAlgorithmPython
ahmedfgad
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Ml AutomationReview before use
2.2KGitHub
6.2KGitHub
Ngboost
stanfordmlgroup
Natural Gradient Boosting for Probabilistic Prediction
Ml AutomationReview before use
1.9KGitHub
Pytextrank
DerwenAI
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Ml AutomationReview before use
2.2KGitHub
RustyML
SomeB1oody
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
Ml AutomationReview before use
341GitHub
Xgboost
dmlc
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,…
Ml AutomationReview before use
28.5KGitHub
Stable Baselines3
DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
13.4KGitHub
ML From Scratch
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
Ml AutomationReview before use
31.9KGitHub
Catboost
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
Ml AutomationReview before use
9KGitHub
H2o 3
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
Ml AutomationReview before use
7.5KGitHub
Cleanrl
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Ml AutomationReview before use
10.1KGitHub
Causalml
uber
Uplift modeling and causal inference with machine learning algorithms
Ml AutomationReview before use
5.9KGitHub
External platform skills
Browse external directory →Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.