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scikit-learn

Appears in 10 awesome lists

Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.

Open github.comscikit-learn/scikit-learn

Found in these lists

Awesome Big Data

Section: Machine Learning · scikit-learn: machine learning in Python.

ActiveScore 84

Awesome Data Analysis

Section: Tools · Machine learning library for classical algorithms and model building.

FreshScore 80

Awesome First Pull Request Opportunities

Section: Python · (label: good first issue) Scikit-learn is a machine learning library for Python.

ActiveScore 83

Awesome LLMOps

Section: Frameworks for Training · Machine Learning in Python.

ActiveScore 75

Awesome Open Source AI

Section: 1. Core Frameworks & Libraries · Industry-standard library for traditional machine learning (classification, regression, clustering, pipelines).

FreshScore 89

Awesome Production Machine Learning

Section: Computation and Communication Optimisation · Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.

FreshScore 92

Awesome Python

Section: Machine Learning · The most popular Python library for Machine Learning with extensive documentation and community support.

FreshScore 94

Libraries and packages

Section: Data Science · Machine learning in Python

FreshScore 86

awesome-python

Section: Machine Learning Frameworks · scikit-learn: machine learning in Python

FreshScore 81

Awesome Systematic Trading

Section: Fundamental libraries · | Python, Cython | - Machine learning in Python

FreshScore 89

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

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

Mem0

Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin

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

ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications — automate in a language that approaches plain English, using SSH, with no agents to install on remote systems.

In 11 listsDetails

MindsDB

MindsDB is an Explainable AutoML framework for developers. With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.

In 11 listsDetails