Pytextrank
DerwenAI
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Ml AutomationReview before use
2.2KGitHub
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Results · “boosting-algorithms”
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Results: 78
AgileRL
AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Agent FrameworksReview before use
941GitHub
Single Cell Pseudotime
agitter
An overview of algorithms for estimating pseudotime in single-cell RNA-seq data
Geo ScienceReview before use
444GitHub
RustyML
SomeB1oody
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
Ml AutomationReview before use
341GitHub
Stock Bot
ryantcullen
An open-source Python backtesting engine for designing and evaluating daily stock trading algorithms against real historical market data.
FinanceReview before use
305GitHub
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
157GitHub
Taipy
Avaiga
Turns Data and AI algorithms into production-ready web applications in no time.
CodingReview before use
19.2KGitHub
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
11.7KGitHub
EconML
py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
Ml AutomationReview before use
4.7KGitHub
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