pentbox
|
1.5-7 |
1 |
0.00
|
A security suite that packs security and stability testing oriented tools for networks and systems. |
gramos
|
2016-11-07 11:19 (UTC) |
phylonet
|
3.8.4-3 |
0 |
0.00
|
suite of software tools for reconstructing/analyzing phylogenetic networks in the presence of reticulate evolutionary events. https://doi.org/10.1093/sysbio/syy015 |
malacology
|
2022-12-01 18:01 (UTC) |
polar-bin
|
2.2.0-2 |
0 |
0.00
|
One-click Bitcoin Lightning networks for local app development & testing |
zxp19821005
|
2024-03-22 02:26 (UTC) |
prometheus-podman-exporter
|
1.11.1-1 |
1 |
0.24
|
Prometheus exporter for podman environments exposing containers, pods, images, volumes and networks information. |
navidys
|
2024-05-12 09:19 (UTC) |
python-brian2
|
2.5.0.2-1 |
0 |
0.00
|
A clock-driven simulator for spiking neural networks |
mcgyver
|
2022-01-13 10:40 (UTC) |
python-dm-haiku
|
0.0.12-1 |
1 |
0.00
|
A library for building neural networks in JAX |
daskol
|
2024-02-29 10:50 (UTC) |
python-eagerpy-git
|
0.29.0.r0.g2acb7f9-1 |
1 |
0.00
|
Toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, |
otaj
|
2020-08-31 17:40 (UTC) |
python-eon
|
1.0-1 |
1 |
0.00
|
Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon |
jg-you
|
2018-10-29 19:29 (UTC) |
python-equinox
|
0.11.4-2 |
0 |
0.00
|
Elegant easy-to-use neural networks in JAX |
carlosal1015
|
2024-05-12 17:19 (UTC) |
python-foolbox-git
|
3.1.1.r0.gef30f7f-1 |
1 |
0.00
|
Toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, |
otaj
|
2020-08-31 17:49 (UTC) |
python-ipy
|
1.01-4 |
1 |
0.37
|
Class and tools for handling of IPv4 and IPv6 addresses and networks |
orphan
|
2024-03-19 22:10 (UTC) |
python-isr-git
|
r150.3f6498c-1 |
1 |
0.00
|
Super-scale your images and run experiments with Residual Dense and Adversarial Networks. |
slococo
|
2023-09-23 13:14 (UTC) |
python-kademlia
|
2.2.2-1 |
0 |
0.00
|
Distributed hash table for decentralized peer-to-peer computer networks |
2bluesc
|
2023-05-27 23:53 (UTC) |
python-networkx-git
|
3.2.r57.gf93f0e2a0-1 |
1 |
0.00
|
Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. |
groctel
|
2023-11-27 17:25 (UTC) |
python-netwulf
|
0.0.6-1 |
1 |
0.00
|
Interactive visualization of networks based on Ulf Aslak's d3 web app. |
jg-you
|
2019-02-01 20:04 (UTC) |
python-neupy
|
0.8.2-1 |
0 |
0.00
|
A Tensorflow based python library for prototyping and building neural networks |
piernov
|
2019-06-27 09:00 (UTC) |
python-neurodiffeq
|
0.6.3-1 |
0 |
0.00
|
A light-weight & flexible library for solving differential equations using neural networks based on PyTorch |
carlosal1015
|
2024-01-04 17:20 (UTC) |
python-nntoolkit
|
0.2.2-1 |
0 |
0.00
|
Toolkit to train neural networks |
anakojm
|
2024-04-22 21:48 (UTC) |
python-osmnx
|
1.9.2-1 |
4 |
0.00
|
Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data |
jnboehm
|
2024-04-24 08:49 (UTC) |
python-pathpy-git
|
r432.fa06dc5-1 |
0 |
0.00
|
Analysis of time series data on networks with higher- and multi-order graphical models |
orphan
|
2019-02-25 15:28 (UTC) |
python-pathpy2
|
2.2.0-3 |
1 |
0.00
|
An OpenSource python package for the analysis and visualisation of time series data on complex networks with higher- and multi-order graphical models. |
AlexBocken
|
2024-04-28 09:56 (UTC) |
python-pina-mathlab
|
0.1.1-1 |
0 |
0.00
|
Physics-Informed Neural networks for Advanced modeling |
carlosal1015
|
2024-05-11 15:06 (UTC) |
python-ptflops
|
0.6.9-1 |
0 |
0.00
|
Flops counter for convolutional networks in pytorch framework |
trougnouf
|
2023-04-12 12:40 (UTC) |
python-pytorch-cuda-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA) |
VitalyR
|
2019-11-28 13:10 (UTC) |
python-pytorch-cxx11abi
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) |
daizhirui
|
2024-04-01 19:15 (UTC) |
python-pytorch-cxx11abi-cuda
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with CUDA) |
daizhirui
|
2024-04-01 19:15 (UTC) |
python-pytorch-cxx11abi-opt
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with AVX2 CPU optimizations) |
daizhirui
|
2024-04-01 19:15 (UTC) |
python-pytorch-cxx11abi-opt-cuda
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with CUDA and AVX2 CPU optimizations) |
daizhirui
|
2024-04-01 19:15 (UTC) |
python-pytorch-cxx11abi-opt-rocm
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with ROCm and AVX2 CPU optimizations) |
daizhirui
|
2024-04-01 19:15 (UTC) |
python-pytorch-cxx11abi-rocm
|
2.2.2-1 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CXX11 ABI) (with ROCm) |
daizhirui
|
2024-04-01 19:15 (UTC) |
python-pytorch-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
VitalyR
|
2019-11-28 13:10 (UTC) |
python-pytorch-ignite
|
0.4.10-1 |
1 |
0.03
|
High-level library to help with training neural networks in PyTorch |
m-pilia
|
2022-11-05 18:11 (UTC) |
python-pytorch-ignite-git
|
0.1.0.r39.g9e9d9b9-2 |
0 |
0.00
|
High-level library to help with training neural networks in PyTorch |
m-pilia
|
2018-10-09 07:52 (UTC) |
python-pytorch-mkl-cuda-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with CUDA and MKL-DNN) |
VitalyR
|
2019-11-28 13:10 (UTC) |
python-pytorch-mkl-git
|
1.3.1.r22820.1350b99de4-1 |
2 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (with MKL-DNN) |
VitalyR
|
2019-11-28 13:10 (UTC) |
python-pytorch-rocm-bin
|
2.3.0-2 |
0 |
0.00
|
Tensors and Dynamic neural networks in Python with strong GPU acceleration (binary release) |
trougnouf
|
2024-05-02 14:09 (UTC) |
python-qualia-codegen-plugin-snn
|
2.1.0-1 |
0 |
0.00
|
Support for Spiking Neural Networks in Qualia-CodeGen |
piernov
|
2024-01-16 15:36 (UTC) |
python-qualia-core
|
2.2.0-1 |
0 |
0.00
|
End-to-end training, quantization and deployment framework for deep neural networks on microcontrollers. |
piernov
|
2024-03-01 13:43 (UTC) |
python-qualia-plugin-snn
|
2.2.0-1 |
0 |
0.00
|
Support for Spiking Neural Networks in Qualia |
piernov
|
2024-03-01 13:43 (UTC) |
python-segmentation-models-pytorch
|
0.3.2-1 |
0 |
0.00
|
Neural Networks for Image Segmentation based on PyTorch |
piernov
|
2023-05-04 09:40 (UTC) |
python-spflow
|
0.0.41-1 |
0 |
0.00
|
Sum-Product Flow: An Easy and Extensible Library for Sum-Product Networks |
RenatoLG
|
2020-12-21 19:43 (UTC) |
python-transwhat
|
1:0.2.2-1 |
1 |
0.00
|
A gateway between the XMPP and the WhatsApp IM networks |
orphan
|
2020-08-20 11:38 (UTC) |
python-tsnet
|
0.2.4-1 |
1 |
0.18
|
transient simulation in water networks using Method of Characteristics |
pirofti
|
2023-05-28 22:39 (UTC) |
python2-ipy
|
1.01-1 |
1 |
0.00
|
Python class and tools for handling of IPv4 and IPv6 addresses and networks. |
tallero
|
2022-09-19 12:48 (UTC) |
r-amountain
|
1.30.0-1 |
0 |
0.00
|
Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach |
BioArchLinuxBot
|
2024-05-02 03:12 (UTC) |
r-bionet
|
1.64.0-1 |
0 |
0.00
|
Routines for the functional analysis of biological networks |
BioArchLinuxBot
|
2024-05-02 01:37 (UTC) |
r-blockmodeling
|
1.1.5-2 |
0 |
0.00
|
Generalized and Classical Blockmodeling of Valued Networks |
BioArchLinuxBot
|
2024-02-19 18:03 (UTC) |
r-boolnet
|
2.1.9-1 |
0 |
0.00
|
Construction, Simulation and Analysis of Boolean Networks |
BioArchLinuxBot
|
2023-10-02 18:03 (UTC) |
r-c3net
|
1.1.1.1-1 |
0 |
0.00
|
Infering large-scale gene networks with C3NET |
BioArchLinuxBot
|
2022-06-24 18:22 (UTC) |
r-cellnoptr
|
1.50.0-1 |
0 |
0.00
|
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data |
BioArchLinuxBot
|
2024-05-01 21:19 (UTC) |