This package enables you to deserialize Lua torch-serialized objects from Python.

This package implements additional operators for computer vision models, including operators necessary for image segmentation and object detection deep learning models.

Fonts and configuration files extracted from the official Tor Browser bundle, matching the torbrowser version in this channel.

This package provides a machine learning library of popular datasets, model architectures, and common transformations to apply python-pytorch in the audio domain.

Documentation at https://melpa.org/#/torrent-mode

The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.

This tool provides ordinary differential equation solvers implemented in PyTorch. Backpropagation through ODE solutions is supported using the adjoint method for constant memory cost.

image and video datasets and models for torch deep learning

TorchMetrics is a collection of 100+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:

• A standardized interface to increase reproducibility

• Reduces boilerplate

• Automatic accumulation over batches

• Metrics optimized for distributed-training

• Automatic synchronization between multiple devices

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.

This library provides ordinary differential equation (ODE) solvers implemented in PyTorch. Backpropagation through ODE solutions is supported using the adjoint method for constant memory cost. For usage of ODE solvers in deep learning applications.

As the solvers are implemented in PyTorch, algorithms in this repository are fully supported to run on the GPU.

This package provides a py.test plugin providing fixtures and markers to simplify testing of asynchronous tornado applications.

SockJS-tornado provides the server-side counterpart to a SockJS client library, through the Tornado framework.

SockJS provides a low-latency, full-duplex, cross-domain communication channel between a web browser and web server.

This package adds the support of pgvector vectors to Tortoise-ORM as a new type of fields, it helps to filter/order by cosine similarity distances for scementic search using embeddings.

Pypika-tortoise is a fork of pypika which has been streamlined for its use in the context of tortoise-orm. It removes support for many database kinds that tortoise-orm doesn't need, for example.

Pypika-tortoise is a fork of pypika which has been streamlined for its use in the context of tortoise-orm. It removes support for many database kinds that tortoise-orm doesn't need, for example.

Pypika-tortoise is a fork of pypika which has been streamlined for its use in the context of tortoise-orm. It removes support for many database kinds that tortoise-orm doesn't need, for example.

This package provides a simple pytest plugin that provides some helpful fixtures for testing Tornado (version 5.0 or newer) apps and easy handling of plain (undecoratored) native coroutine tests.

Provides support for adding authentication to services using the Tornado web framework, either via the basic or digest authentication schemes.

Documentation at https://melpa.org/#/tornado-template-mode

GoPtLib is a library for writing Tor pluggable transports in Go.