| Name | Version | Summary | date |
| thin-plate-spline |
1.1.1 |
Thin Plate Spline implementation with numpy/scipy |
2024-04-26 09:01:42 |
| kangas |
2.4.9 |
Tool for exploring columnar data, including multimedia |
2024-04-25 17:27:31 |
| sklearn-ml |
2.2 |
A light package build on scikit-learn, which is used for machine learning missions.By using it, you could conveniently train and use models at the same time, and do some model comparison. |
2024-04-25 14:40:23 |
| gentab |
0.1.2 |
A synthetic tabular data generation library. |
2024-04-25 12:00:58 |
| face-rhythm |
0.2.5 |
A pipeline for analysis of facial behavior using optical flow |
2024-04-25 05:04:43 |
| bnpm |
0.5.3 |
A library of useful modules for data analysis. |
2024-04-25 04:48:14 |
| torchbricks |
0.3.0 |
Decoupled and modular approach to building multi-task ML models using a single model recipe for all model stages |
2024-04-24 22:54:58 |
| aespm |
1.0.5 |
SPM Automation with Python and Machine Learning. |
2024-04-24 22:14:44 |
| continuiti |
0.1.0 |
Learning function operators with neural networks. |
2024-04-23 09:15:55 |
| seisbench |
0.7.0 |
The seismological machine learning benchmark collection |
2024-04-22 11:14:39 |
| scattermind |
0.4.1 |
A decentralized and distributed horizontally scalable model execution framework. |
2024-04-22 03:14:48 |
| kedro-boot |
0.2.2 |
A kedro plugin that streamlines the integration between Kedro projects and external applications, making it easier for you to develop production-ready data science applications. |
2024-04-21 21:43:03 |
| ploteries |
0.1.2 |
Plotting for ML training |
2024-04-21 05:36:30 |
| eins |
0.1.1 |
One tensor operation is all you need |
2024-04-20 19:35:11 |
| ArrowTextClassifier |
1.0.3 |
ArrowTextClassifier is a simple text classification tool written in pytorch that allows you to train, summarize, and use text classification models for various tasks. |
2024-04-20 14:25:39 |
| gradio-imageslider |
0.0.20 |
A Gradio component for comparing two images. This component can be used in several ways: - as a **unified input / output** where users will upload a single image and an inference function will generate an image it can be compared to (see demo), - as a **manual upload input** allowing users to compare two of their own images (which can then be passed along elsewhere, e.g. to a model), - as **static output component** allowing users to compare two images generated by an inference function. |
2024-04-19 14:41:11 |
| model-diagnostics |
1.1.1 |
Tools for diagnostics and assessment of (machine learning) models |
2024-04-19 13:49:51 |
| KesslerGame |
2.1.5 |
Asteroids game simulation environment for ML and AI applications |
2024-04-18 17:30:53 |
| ntqr |
0.3.2 |
Tools for the logic of evaluation using unlabeled data |
2024-04-18 12:30:10 |
| pfund |
0.0.1.dev12 |
A Complete Algo-Trading Framework for Machine Learning, enabling trading across TradFi, CeFi and DeFi. Supports Vectorized and Event-Driven Backtesting, Paper and Live Trading |
2024-04-18 09:25:08 |