Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Feature engineering with Scikit-Learn compatibility.
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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.
Section: Useful Python Tools for Data Analysis · Feature engineering with Scikit-Learn compatibility.
Section: Python · Open source library with an exhaustive battery of feature engineering and selection methods based on pandas and scikit-learn.
Section: Feature Engineering · Feature engineering package with SKlearn like functionality.
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.
Section: AutoML · Feature-engine is a Python library that contains several transformers to engineer features for use in machine learning models.
Section: Machine Learning · sklearn compatible API with the widest toolset for feature engineering and selection.
Section: General · Feature engineering package with sklearn-like functionality.
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.
(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.
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…
(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…
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
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
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,…