What is models built with?

Q: Which repos have a stack like models's?

The ones that share most of its stack: unslothai/unsloth, vllm-project/vllm, and hiyouga/LlamaFactory.

models is a Python repo built with FastAPI. It signs people in with google-auth-oauthlib, uses AI through cupy-cuda12x, einops, TensorFlow, tf-keras, torch, and 7 more, connects to Google, makes its content with pillow, is tested with seqeval, deploys with psutil, and uses Google Cloud Storage. It has 644,066 written lines, with 778 test files.

Read on November 4, 2026, at commit 19f2877. Read it as markdown

Frontend

Interface 2

matplotlib17 files
seaborn1 file

Backend

The base 1

FastAPI

Sign-in 1

google-auth-oauthlib

AI 12

TensorFlow1,220 files
tf-keras749 files
torch30 files
opencv-python26 files
torchvision10 files
scikit-image5 files
scikit-learn5 files
nltk2 files
cupy-cuda12x
sentencepiece9 files
tritonclient2 files
einops

Services 2

Google6 files · official/projects/waste_identification_ml/Deploy/detr_cloud_deployment/client/big_query_ops.py, line 1
Google Cloud Storage1 file · official/projects/waste_identification_ml/model_inference_with_tracking/rfdetr_dinov3_tracking/gcs_ops.py, line 1

Support

Content 1

pillow50 files

Testing 1

seqeval1 file

Deploy 1

psutil

Tools 2

cython
notebook

Other 12

NumPy337 files
pandas25 files
SciPy18 files
pyyaml7 files
google-api-core
opencv-python-headless
six139 files
natsort10 files
soundfile4 files
protobuf
py-cpuinfo
shapely

Other repos with a similar stack

Ordered by how much of its stack they share with models, then by stars.

unslothaiunsloth
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96.3k
A high-throughput and memory-efficient inference and serving engine for LLMs
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hiyougaLlamaFactory
75.9k
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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debpalashVoiceStudio
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VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages.
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Significant-GravitasAutoGPT
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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
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langflow-ailangflow
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Frequently asked questions

What language is models written in?

models is written in Python, with 644,066 written lines.

What framework does models use?

models is built with FastAPI.

What does models sign people in with?

models signs people in with google-auth-oauthlib.

Does models use AI?

Yes. models uses AI through cupy-cuda12x, einops, TensorFlow, tf-keras, torch, opencv-python, torchvision, sentencepiece, scikit-image, scikit-learn, nltk, and tritonclient.

What services does models use?

models connects to Google and uses Google Cloud Storage.

The proof: official/projects/waste_identification_ml/Deploy/detr_cloud_deployment/client/big_query_ops.py, line 1

Does models have tests?

Yes. models has 778 test files and is tested with seqeval.

Which repos have a stack like models's?

The ones that share most of its stack:unslothai/unsloth vllm-project/vllm hiyouga/LlamaFactory