TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
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TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
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
A game theoretic approach to explain the output of any machine learning model.
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.
Machine learning, in numpy
A handy collection of more than 500 native Swift extensions to boost your productivity.
Useful CMake Examples
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression
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.
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.
🚀Optimizer for mobile applications
iFlow cli is a comprehensive command-line intelligence that embeds in your terminal, analyzes your repositories, does coding tasks, interprets your needs across contexts, and boosts efficiency by performing tasks from simple file operations to complex workflow automation.
HTTP and WebSocket built on Boost.Asio in C++11
Tiny (2 KB) turboboosted JavaScript library for creating user interfaces.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
A library for debugging/inspecting machine learning classifiers and explaining their predictions
🅰️ Lobe theme - The modern theme for stable diffusion webui, exquisite interface design, highly customizable UI, and efficiency boosting features.
A collection of research papers on decision, classification and regression trees with implementations.
A C++20 library for fast serialization, deserialization and validation using reflection. Supports JSON, Avro, Boost Serialization, BSON, Cap'n Proto, CBOR, Cereal, Command line interfaces, CSV, Environment variables, flexbuffers, msgpack, parquet, TOML, UBJSON, XML, YAML, yas / msgpack.org[C++20]
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.