Skip to content

Entry

Feature Engine

Appears in 7 awesome lists

Python library with multiple transformers to engineer and select features for machine learning models. scikit-learn compatible with fit() and transform() methods for encoding, imputation, variable transformation, and feature selection. BSD-3-Clause licensed.

Open github.comfeature-engine/feature_engine

Found in these lists

Awesome Data Analysis

Section: Useful Python Tools for Data Analysis · Feature engineering with Scikit-Learn compatibility.

FreshScore 80

Awesome Machine Learning

Section: Python · Open source library with an exhaustive battery of feature engineering and selection methods based on pandas and scikit-learn.

FreshScore 93

Awesome MLOps

Section: Feature Engineering · Feature engineering package with SKlearn like functionality.

FreshScore 80

Awesome Open Source AI

Section: 8. MLOps / LLMOps & Production · Python library with multiple transformers to engineer and select features for machine learning models. scikit-learn compatible with fit() and transform() methods for encoding, imputation, variable transformation, and feature selection. BSD-3-Clause licensed.

FreshScore 89

Awesome Production Machine Learning

Section: AutoML · Feature-engine is a Python library that contains several transformers to engineer features for use in machine learning models.

FreshScore 92

Awesome Python

Section: Machine Learning · sklearn compatible API with the widest toolset for feature engineering and selection.

FreshScore 94

Awesome Python Data Science

Section: General · Feature engineering package with sklearn-like functionality.

ActiveScore 71

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

XGBoost

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, Flink and DataFlow. [Apache2]

In 11 listsDetails