A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series
A urllib3.poolmanager/urllib3.connectionpool-like library for managing sockets and connections
Training neural networks in PyTorch
network-firewall data for botocore. See the `botocore-a-la-carte` package for more info.
A Python library for healthcare AI
Arista Cloudvision(R) Portal Rest API Client written in python
OpenStack Networking
A Python Toolbox for Machine Learning on Partially-Observed Time Series
Type annotations for aiobotocore.NetworkFirewall 2.15.2 service generated with mypy-boto3-builder 8.1.2
Extension providing a basic udp client for making connections, receiving and sending packets in C.
PyTorch implementation of TabNet
Tensorflow backend for ONNX (Open Neural Network Exchange).
Extension providing a basic tcp client for making connections, receiving and sending packets in C.
Radix tree implementation
Portable network interface information
Python client for Coin Metrics API v4.
OpenStack Networking
QualiSystems Juniper package
DGL-based package for Life Science
Resilient, Scalable, IPv6 Network
Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
A library to control Midea appliances via the local network
Hyper optimized contraction trees for large tensor networks and einsums.
A CLI for interacting with Aruba Central (Cloud Management Platform). Facilitates bulk imports, exports, reporting. A handy tool if you have devices managed by Aruba Central.
Ultra-fast websocket client and server for asyncio
Framework-agnostic saliency methods
A Python module for Palo Alto Networks' WildFire API
OpenStack Networking
Infrastructure for support neural networks compression
Various utilities for asyncio networking
cuTensorNet - a component of NVIDIA cuQuantum SDK
A bunch of useful click parameter types
louvain is a general algorithm for methods of community detection in large networks.
This is a package about network security
Portable network interface information (Supports Python 3.6 and higher)
A framework for conducting pore network modeling simulations of multiphase transport in porous materials
A python graph library implemented in Rust
This package is designed to compute the theoretical amount of FLOPs(floating-point operations)、MACs(multiply-add operations) and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model),including any custom models via torch.nn.function.* as long as based on the Pytorch implementation.
Portable network interface information.
RemotiveLabs Broker gRPC API
Common utilities and tools maintained by Greenbone Networks
Infrastructure for support neural networks compression