Name | Version | Summary | date |
pycroscopy |
0.63.3 |
Python library for scientific analysis of microscopy data |
2024-06-05 21:32:48 |
DonutLLMCore |
1.0.0 |
Core library for training PyTorch model in Donut-LLM-Tools |
2024-05-28 13:44:55 |
Donut-LLM-Tools |
24.5.28 |
Tools for creating datasets, training and loading AI models |
2024-05-28 10:36:52 |
dashai-test-tabular-classification-package |
0.1.3 |
Tabular Classification Package |
2024-05-26 15:26:09 |
deepfusion |
0.0.3 |
DeepFusion is a highly modular and customizable deep learning framework! |
2024-05-23 09:42:49 |
django-compositepk-model |
1.0.3 |
Extended Django Model class with composite-primary-key support |
2024-05-23 03:18:07 |
gradio-litmodel3d |
0.0.1 |
An improved Model3D component with environment map support |
2024-05-22 12:18:24 |
ddeutil-model |
0.0.4 |
Data Developer & Engineer Model Utility Objects |
2024-05-20 04:45:13 |
ciceroscm |
1.1.2 |
Python version of the CICERO-SCM simple climate model |
2024-05-13 08:51:26 |
crud-repository |
0.2.3 |
The CRUDRepository is a Python project designed to provide a generic implementation of Create, Read, Update, and Delete (CRUD) operations for various databases. |
2024-05-11 15:49:17 |
samlib |
1.290.1 |
High-level library for NREL's SAM Simulation Core (SSC) |
2024-05-09 20:26:19 |
ArtificialVision |
0.1.4 |
Artificial Vision Library |
2024-05-04 10:34:11 |
pycaleva |
0.8.2 |
A framework for calibration evaluation of binary classification models |
2024-05-02 20:51:08 |
intake-nwp |
0.3.5 |
Intake drivers for numerical weather prediction data |
2024-05-01 05:31:43 |
django-copyist |
0.1.3 |
Tool for precise and efficient django model copying |
2024-04-28 13:17:47 |
django-user-email |
1.1.1 |
Custom, simple Django User model with email as username |
2024-04-20 18:51:19 |
ome-model |
6.3.6 |
Core OME model library (EXPERIMENTAL) |
2024-04-16 15:46:04 |
dibs-cli |
1.0.1 |
DIBS---Dynamic-ISO-Building-Simulator command line interface (CLI): DIBS---Dynamic-ISO-Building-Simulator is a simulation program for calculating the space heating, occupancy hot water, cooling and electricity demand of German non-residential buildings. Further the DIBS calculates the heating value based energy uses, the primary energy and the greenhouse gas emission. The underlying resistance-capacity-model is based on the simplified hourly method of ISO 13790:2008. |
2024-04-09 10:37:52 |
dorsal |
0.2.0 |
Pydantic model base classes and custom type handling, JSON schema generation, etc. covering a variety of common scenarios without much config |
2024-03-25 08:21:16 |
dibs-datasource-csv |
1.0.1 |
This package translates CSV date files to DIBS input. DIBS---Dynamic-ISO-Building-Simulator is a simulation program for calculating the space heating, occupancy hot water, cooling and electricity demand of German non-residential buildings. Further the DIBS calculates the heating value based energy uses, the primary energy and the greenhouse gas emission. The underlying resistance-capacity-model is based on the simplified hourly method of ISO 13790:2008. |
2024-03-21 13:48:23 |