Skip to content
CVHub520 organisation mark

The best X-AnyLabeling alternatives

CVHub520/X-AnyLabeling

12 open-source projects share topics or a category with X-AnyLabeling. 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.

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…

  • Apache License 2.0 suits your use better than GNU General Public License v3.0
  • you want the more widely starred option (22.1k)
  • you specifically need ai or dataset-hub

Shares artificial-intelligence, computer-vision, deep-learning, machine-learning with X-AnyLabeling.

Pushed today.Apache License 2.0Python22.1k+21
kornia organisation mark

kornia

kornia/kornia

🐍 Geometric Computer Vision Library for Spatial AI

Choose kornia if…

  • Apache License 2.0 suits your use better than GNU General Public License v3.0
  • you specifically need hacktoberfest or image-processing

Shares artificial-intelligence, computer-vision, deep-learning, machine-learning with X-AnyLabeling.

Pushed today.Apache License 2.0Python12.3k+872
voxel51 organisation mark

fiftyone

voxel51/fiftyone

Refine high-quality datasets and visual AI models

Choose fiftyone if…

  • you would rather work in TypeScript than Python
  • Apache License 2.0 suits your use better than GNU General Public License v3.0
  • you specifically need active-learning or data-centric-ai

Shares artificial-intelligence, computer-vision, deep-learning, image-classification with X-AnyLabeling.

Pushed today.Apache License 2.0TypeScript11.3k+31
microsoft organisation mark

computervision-recipes

microsoft/computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

Choose computervision-recipes if…

  • you would rather work in Jupyter Notebook than Python
  • MIT License suits your use better than GNU General Public License v3.0
  • you specifically need azure or convolutional-neural-networks

Shares artificial-intelligence, computer-vision, deep-learning, image-classification with X-AnyLabeling.

No push in 2.7 years ago.MIT LicenseJupyter Notebook9.9k
HenryNdubuaku organisation mark

maths-cs-ai-compendium

HenryNdubuaku/maths-cs-ai-compendium

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

Choose maths-cs-ai-compendium if…

  • you would rather work in TypeScript than Python
  • Apache License 2.0 suits your use better than GNU General Public License v3.0
  • you specifically need ai-textbook or algorithms

Shares artificial-intelligence, computer-vision, deep-learning, machine-learning with X-AnyLabeling.

Last push 4 months ago.Apache License 2.0TypeScript7.7k+13
explosion organisation mark

spaCy

explosion/spaCy

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

Choose spaCy if…

  • MIT License suits your use better than GNU General Public License v3.0
  • you want the more widely starred option (34.0k)
  • you specifically need ai or cython

Shares artificial-intelligence, deep-learning, machine-learning with X-AnyLabeling.

Pushed 8 days ago.MIT LicensePython34.0k+22
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…

  • Apache License 2.0 suits your use better than GNU General Public License v3.0
  • you want the more widely starred option (31.4k)
  • you specifically need ai or data-science

Shares artificial-intelligence, deep-learning, machine-learning with X-AnyLabeling.

Pushed 5 days ago.Apache License 2.0Python31.4k+9
harvard-edge organisation mark

cs249r_book

harvard-edge/cs249r_book

Machine Learning Systems

Choose cs249r_book if…

  • you want the more widely starred option (29.9k)
  • you specifically need cloud-ml or computer-systems

Shares artificial-intelligence, deep-learning, machine-learning with X-AnyLabeling.

Pushed today.OtherPython29.9k+172
lucidrains organisation mark

vit-pytorch

lucidrains/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Choose vit-pytorch if…

  • MIT License suits your use better than GNU General Public License v3.0
  • you want the more widely starred option (25.6k)
  • you specifically need attention-mechanism or transformers

Shares artificial-intelligence, computer-vision, image-classification with X-AnyLabeling.

Pushed 4 days ago.MIT LicensePython25.6k+1
recommenders-team organisation mark

recommenders

recommenders-team/recommenders

Best Practices on Recommendation Systems

Choose recommenders if…

  • MIT License suits your use better than GNU General Public License v3.0
  • you want the more widely starred option (22.0k)
  • you specifically need ai or data-science

Shares artificial-intelligence, deep-learning, machine-learning with X-AnyLabeling.

Pushed today.MIT LicensePython22.0k+8
onnx organisation mark

onnx

onnx/onnx

Open standard for machine learning interoperability

Choose onnx if…

  • Apache License 2.0 suits your use better than GNU General Public License v3.0
  • you want the more widely starred option (21.6k)
  • you specifically need ai or deep-neural-networks

Shares artificial-intelligence, deep-learning, machine-learning with X-AnyLabeling.

Pushed today.Apache License 2.0Python21.6k+14
aurelio-labs organisation mark

semantic-router

aurelio-labs/semantic-router

Superfast AI decision making and intelligent processing of multi-modal data.

Choose semantic-router if…

  • MIT License suits your use better than GNU General Public License v3.0
  • you prefer a smaller, narrower project to a large one
  • you specifically need ai or chatbot

Shares artificial-intelligence, computer-vision, machine-learning with X-AnyLabeling.

Pushed 13 days ago.MIT LicensePython4.0k+38