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 provides a py.test plugin supplying fixtures and markers to simplify testing of asynchronous tornado applications.
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.
This code is for loading database data that maps IP addresses to countries for collecting and presenting statistics on snowflake use that might alert us to censorship events.
This package provides a collection of utilities for Pluggable Transports.
GoPtLib is a library for writing Tor pluggable transports in Go.
This is a look-like nothing obfuscation protocol that incorporates ideas and concepts from Philipp Winter's ScrambleSuit protocol.
WebTunnel is a Go Pluggable Transport that attempts to imitate web browsing activities based on HTTP Upgrade (HTTPT).