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dair-ai organisation mark

The best ml-visuals alternatives

dair-ai/ml-visuals

12 open-source projects share topics or a category with ml-visuals. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.

explosion organisation mark

spaCy

explosion/spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

Choose spaCy if…

  • you would rather work in Python
  • you want the more widely starred option (34.0k)
  • you want the more recently updated codebase
  • you specifically need ai or cython

Shares artificial-intelligence, deep-learning, machine-learning, natural-language-processing with ml-visuals.

Pushed 8 days ago.MIT LicensePython34.0k+16
huggingface organisation mark

datasets

huggingface/datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Choose datasets if…

  • you would rather work in Python
  • Apache License 2.0 suits your use better than MIT License
  • you want the more recently updated codebase
  • you specifically need ai or computer-vision

Shares artificial-intelligence, deep-learning, machine-learning, natural-language-processing with ml-visuals.

Pushed 5 days ago.Apache License 2.0Python22.1k+17
stanfordnlp organisation mark

stanza

stanfordnlp/stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Choose stanza if…

  • you would rather work in Python
  • you prefer a smaller, narrower project to a large one
  • you want the more recently updated codebase
  • you specifically need corenlp or named-entity-recognition

Shares artificial-intelligence, deep-learning, machine-learning, natural-language-processing with ml-visuals.

Pushed yesterday.OtherPython7.9k+3
Lightning-AI organisation mark

pytorch-lightning

Lightning-AI/pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Choose pytorch-lightning if…

  • you would rather work in Python
  • Apache License 2.0 suits your use better than MIT License
  • you want the more widely starred option (31.4k)
  • you want the more recently updated codebase

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

Pushed 5 days ago.Apache License 2.0Python31.4k+8
harvard-edge organisation mark

cs249r_book

harvard-edge/cs249r_book

Machine Learning Systems

Choose cs249r_book if…

  • you would rather work in Python
  • you want the more widely starred option (29.8k)
  • you want the more recently updated codebase
  • you specifically need cloud-ml or computer-systems

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

Pushed yesterday.OtherPython29.8k+140
recommenders-team organisation mark

recommenders

recommenders-team/recommenders

Best Practices on Recommendation Systems

Choose recommenders if…

  • you would rather work in Python
  • you want the more recently updated codebase
  • you specifically need ai or data-science

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

Pushed 2 days ago.MIT LicensePython22.0k+8
stefan-jansen organisation mark

machine-learning-for-trading

stefan-jansen/machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Choose machine-learning-for-trading if…

  • you would rather work in Jupyter Notebook
  • you want the more recently updated codebase
  • you specifically need algorithmic-trading or backtesting

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

Pushed yesterday.MIT LicenseJupyter Notebook21.7k+113
onnx organisation mark

onnx

onnx/onnx

Open standard for machine learning interoperability

Choose onnx if…

  • you would rather work in Python
  • Apache License 2.0 suits your use better than MIT License
  • you want the more recently updated codebase
  • you specifically need ai or deep-neural-networks

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

Pushed yesterday.Apache License 2.0Python21.6k+13
kailashahirwar organisation mark

cheatsheets-ai

kailashahirwar/cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Choose cheatsheets-ai if…

  • you specifically need keras or matplotlib

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

No push in 7 years ago.MIT License15.4k
tangyudi organisation mark

Ai-Learn

tangyudi/Ai-Learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Choose Ai-Learn if…

  • you want the more recently updated codebase
  • you specifically need algorithm or caffe

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

No push in 2.4 years ago.No license detected13.5k+12
voxel51 organisation mark

fiftyone

voxel51/fiftyone

Refine high-quality datasets and visual AI models

Choose fiftyone if…

  • you would rather work in TypeScript
  • Apache License 2.0 suits your use better than MIT License
  • you want the more recently updated codebase
  • you specifically need active-learning or computer-vision

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

Pushed yesterday.Apache License 2.0TypeScript11.3k+38
CVHub520 organisation mark

X-AnyLabeling

CVHub520/X-AnyLabeling

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

Choose X-AnyLabeling if…

  • you would rather work in Python
  • GNU General Public License v3.0 suits your use better than MIT License
  • you want the more recently updated codebase
  • you specifically need clip or computer-vision

Shares artificial-intelligence, deep-learning, machine-learning with ml-visuals.

Pushed yesterday.GNU General Public License v3.0Python10.9k+55