Name | Version | Summary | date |
sprint-toolkit |
0.0.3 |
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval |
2023-06-21 18:40:24 |
traversaal |
0.6982 |
A semantic search package for hotel data |
2023-06-02 06:29:39 |
reticula |
0.9.2 |
Analyse temporal network and hypergraphs efficiently. |
2023-05-31 17:26:08 |
spaghetti |
1.7.3 |
Analysis of Network-constrained Spatial Data |
2023-05-25 01:06:28 |
netin |
1.0.5.9 |
Python package to study inequalities in social networks |
2023-04-26 21:46:40 |
qunetsim |
0.1.3.post1 |
A Quantum Network Simulation Framework |
2023-04-20 10:00:51 |
netts |
0.3.2 |
Toolbox for constructing NETworks of Transcript Semantics. |
2023-03-20 19:23:44 |
cana |
0.2.0 |
This package implements a series of methods used to study control, canalization and redundancy in Boolean networks. |
2023-03-17 16:29:59 |
ncon |
2.0.0 |
Tensor network contraction function for Python 3. |
2023-03-13 19:23:15 |
nxontology |
0.5.0 |
NetworkX for ontologies |
2023-02-28 20:02:30 |
n2g |
0.3.3 |
Need To Graph |
2023-02-11 07:38:48 |
mms-networkx |
1.12rc1 |
Python package for creating and manipulating graphs and networks |
2023-02-06 21:20:17 |
lpd |
0.4.10 |
A Fast, Flexible Trainer with Callbacks and Extensions for PyTorch |
2023-02-04 06:43:29 |
dyvider |
0.3 |
Rapid and exact partitioning algorithms for graphs embedded in one dimension. |
2023-01-26 04:54:14 |
internet-ml |
3.1.0 |
Internet-ML: Allowing ML to connect to the internet |
2023-01-18 16:20:51 |
inspect-nn |
0.0.1 |
Inference eNgine uSing aPproximate arithmEtic ComponenTs for Neural Networks |
2022-12-13 14:02:52 |
nonlincausality |
1.1.10 |
Python package for Granger causality test with nonlinear (neural networks) forecasting methods. |
2022-12-12 12:06:06 |
EdgeClassifier |
0.0.11 |
A python package for classify edges of graph based on topological features and neural networks. |
2022-12-07 15:08:36 |
jraph |
0.0.6.dev0 |
Jraph: A library for Graph Neural Networks in Jax |
2022-08-12 15:24:47 |
torch-fidelity |
0.3.0 |
High-fidelity performance metrics for generative models in PyTorch |
2021-06-15 16:10:50 |