models
There are 1343 repositories under models topic.
Coolie
Coolie(苦力) helps you to create models (& their constructors) from a JSON file.
vectiler
A vector tile, terrain and city 3d model builder and CLI exporter. Consider using its fully integrated user interface at https://halfmaps.io
plank
A tool for generating immutable model objects
GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
haupt
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
LibtorchSegmentation
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
laravel-model-cleanup
Clean up unneeded records
insight
:crystal_ball: Easy access to model information for various model objects
jsonmodels
jsonmodels is library to make it easier for you to deal with structures that are converted to, or read from JSON.
change_detection.pytorch
Deep learning models for change detection of remote sensing images
gama.old
Main repository for developing the 1.x versions of GAMA
sourced
Tiny framework for building models with the event sourcing pattern (events and snapshots).
hydro-serving
MLOps Platform
knn-transformers
PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT
simple-onnx-processing-tools
A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.
limitless-engine
OpenGL C++ Graphics Engine
dffml
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
TeslaSwift
Swift library to access the Tesla API
mindcv
A toolbox of vision models and algorithms based on MindSpore
pydbantic
A single model for shaping, creating, accessing, storing data within a Database
django-behaviors
Easily integrate common behaviors for Django models, e.g. Timestamps, Publishing, Authoring, Editing and more.
dynamic-training-bench
Simplify the training and tuning of Tensorflow models
kitops
Tools for easing the handoff between AI/ML and App/SRE teams.
mlx
Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine
aitlas
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
evolutility-ui-jquery
Model-driven Web UI for CRUD using REST or localStorage.
spacy-universal-sentence-encoder
Google USE (Universal Sentence Encoder) for spaCy
Pytorch-Model-Zoo
A collection of deep learning models implemented in PyTorch
json2python-models
Generate Python model classes (pydantic, attrs, dataclasses) based on JSON datasets with typing module support
laravel-model-info
Get information on all the models in your Laravel project
omymodels
O!My Models (omymodels) is a library to generate Pydantic, Dataclasses, GinoORM Models, SqlAlchemy ORM, SqlAlchemy Core Table, Models from SQL DDL. And convert one models to another.
LangChain-for-LLM-Application-Development
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
3DHOP
3D Heritage Online Presenter
django-webhook
Django webhooks triggered on model changes
deep_training
deep learning
chainer-fast-neuralstyle-models
Models for the chainer fast neuralstyle