Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
This package provides simple access speech to text for using in Linux without being tied to a desktop environment, using the vosk-api. The user configuration lets you manipulate text using Python string operations. It has zero overhead, as this relies on manual activation and there are no background processes. Dictation is accessed manually with nerd-dictation begin and nerd-dictation end commands.
QNNPACK is a library for low-precision neural network inference. It contains the implementation of common neural network operators on quantized 8-bit tensors.
This is a real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framework and implemented in Python.
ONNX is a format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.
This package provides a Python library for translating plain- and rich-text documents with Argos Translate.
PyTorch is a Python package that provides two high-level features:
tensor computation (like NumPy) with strong GPU acceleration;
deep neural networks (DNNs) built on a tape-based autograd system.
You can reuse Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
Note: currently this package does not provide GPU support.
GPy is a Gaussian Process (GP) framework written in Python, from the Sheffield machine learning group. GPy implements a range of machine learning algorithms based on GPs.
frugally-deep is a header-only C++ library for inference of Keras machine learning models on a single CPU core.
PyNNDescent provides a Python implementation of Nearest Neighbor Descent for k-neighbor-graph construction and approximate nearest neighbor search.
PyTorch Lightning is just organized PyTorch; Lightning disentangles PyTorch code to decouple the science from the engineering.
jaxtyping provides type annotations and runtime checking for shape and dtype of JAX arrays, PyTorch, NumPy, TensorFlow, and PyTrees.
This package provides simple access speech to text for using in Linux without being tied to a desktop environment, using the vosk-api. The user configuration lets you manipulate text using Python string operations. It has zero overhead, as this relies on manual activation and there are no background processes. Dictation is accessed manually with nerd-dictation begin and nerd-dictation end commands.
DLPack is an in-memory tensor structure for sharing tensors among frameworks.
Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends. TVM works with deep learning frameworks to provide end to end compilation to different backends
This package provides a tensor-like library for functions and distributions.
This package provides the Magic-Wormhole Transit Relay server, which helps clients establish bulk-data transit connections even when both are behind NAT boxes. Each side makes a TCP connection to this server and presents a handshake. Two connections with identical handshakes are glued together, allowing them to pretend they have a direct connection.
This package provides the main server that Magic-Wormhole clients connect to. The server performs store-and-forward delivery for small key-exchange and control messages. Bulk data is sent over a direct TCP connection, or through a transit-relay.
Magic-Wormhole is a library and a command-line tool named wormhole, which makes it possible to securely transfer arbitrary-sized files and directories (or short pieces of text) from one computer to another. The two endpoints are identified by using identical "wormhole codes": in general, the sending machine generates and displays the code, which must then be typed into the receiving machine.
The codes are short and human-pronounceable, using a phonetically-distinct wordlist. The receiving side offers tab-completion on the codewords, so usually only a few characters must be typed. Wormhole codes are single-use and do not need to be memorized.
Mutt is a small but very powerful text-based mail client for Unix operating systems.
GNU Mailman is software for managing email discussion and mailing lists. Both users and administrators generally perform their actions in a web interface, although email and command-line interfaces are also provided. The system features built-in archiving, automatic bounce processing, content filtering, digest delivery, and more.
Email::Simple provides simple parsing of RFC 2822 message format and headers.
This package provides a TNEF stream reader library and related tools to process winmail.dat files.
notifymuch displays desktop notifications for messages in the notmuch database. The notifications are sent using libnotify to a notification daemon. The query to find messages to send a notification about is configurable, and a notification for the same message will not be send within a configurable period (defaults to 48 hours). To use notifymuch, run notifymuch after new mail is indexed, this can be automated by invoking notifymuch from the post-new hook.
Python module that implements DKIM (DomainKeys Identified Mail) email signing and verification (RFC6376). It also provides helper scripts for command line signing and verification. It supports DKIM signing/verifying of ed25519-sha256 signatures (RFC 8463). It also supports the RFC 8617 Authenticated Received Chain (ARC) protocol.