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QNNPACK is a library for low-precision neural network inference. It contains the implementation of common neural network operators on quantized 8-bit tensors.
TensorPipe provides a tensor-aware channel to transfer rich objects from one process to another while using the fastest transport for the tensors contained therein.
This is a Python library that aims at making tensor learning simple and accessible. It allows performing tensor decomposition, tensor learning and tensor algebra easily. Its backend system allows seamlessly perform computation with NumPy, PyTorch, JAX, MXNet, TensorFlow or CuPy and run methodxs at scale on CPU or GPU.
This package provides a functional take on deep learning, compatible with your favorite libraries.
This package contains legacy registered functions for spaCy backwards compatibility.
cleanlab automatically finds and fixes errors in any ML dataset. This data-centric AI package facilitates machine learning with messy, real-world data by providing clean labels during training.
LIBSVM is a machine learning library for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
GPyTorch is a Gaussian process library implemented using PyTorch.
DLPack is an in-memory tensor structure for sharing tensors among frameworks.
This Python library provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning.
FANN is a neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks.
A Python library for reading and writing GGUF & GGML format ML models.
LinearOperator is a PyTorch package for abstracting away the linear algebra routines needed for structured matrices (or operators).
This package provides an implementation of today’s most used tokenizers, with a focus on performance and versatility.
Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce.
This package is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including:
bfloat16: an alternative to the standardfloat16formatfloat8_*: several experimental 8-bit floating point representations including:float8_e4m3b11fnuzfloat8_e4m3fnfloat8_e4m3fnuzfloat8_e5m2float8_e5m2fnuz
int4anduint4: low precision integer types.
OneAPI Deep Neural Network Library (oneDNN) is a cross-platform performance library of basic building blocks for deep learning applications.
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.
OfflineImap synchronizes emails between two repositories, so that you can read the same mailbox from multiple computers. It supports IMAP as REMOTE repository and Maildir/IMAP as LOCAL repository.
This project is a reimplementation of the Python stdlib smtpd.py based on asyncio.
Mairix is a program for indexing and searching email messages stored in Maildir, MH, MMDF or mbox folders.
OpenSMTPD is an implementation of server-side SMTP, with some additional standard extensions. It allows ordinary machines to exchange e-mails with other systems speaking the SMTP protocol, or to deliver them to local users.
In order to simplify the use of SMTP, OpenSMTPD implements a smaller set of functionality than those available in other SMTP daemons. The objective is to provide enough features to satisfy typical usage at the risk of unsuitability to esoteric or niche requirements.