| Name | Version | Summary | date |
| tensortrade-ng |
2.0.0a1 |
TensorTrade-NG: A reinforcement learning library for training, evaluating, and deploying robust trading agents. |
2024-08-26 11:24:14 |
| qubit-discovery |
1.0.0 |
Tools to optimize superconducting circuits using SQcircuit. |
2024-08-26 08:47:58 |
| roboquant |
0.9.3 |
A fast algo-trading platform with support for machine learning based strategies |
2024-08-24 07:24:28 |
| torchcs |
1.1.10 |
Compressed Sensing in PyTorch. |
2024-08-23 23:51:19 |
| torchbox |
1.1.28 |
A PyTorch Toolbox. |
2024-08-23 23:38:04 |
| deeplay |
0.1.1 |
An AI-powered platform for advancing deep learning research and applications, developed by DeepTrackAI. |
2024-08-23 10:43:09 |
| audiotree |
0.1.0 |
Audio data loading and augmentations in JAX |
2024-08-22 19:35:25 |
| psgd-jax |
0.1.5 |
An implementation of PSGD optimizer in JAX. |
2024-08-22 16:15:27 |
| kedro |
0.19.8 |
Kedro helps you build production-ready data and analytics pipelines |
2024-08-22 13:46:16 |
| taxotagger |
0.0.1a2 |
Fungi DNA barcoder based on semantic searching |
2024-08-22 11:28:54 |
| bigdl-core-npu |
2.5.0 |
Intel® NPU Acceleration Library |
2024-08-22 09:26:47 |
| audb |
1.9.0 |
Load and publish databases in audformat |
2024-08-22 08:51:17 |
| bgslibrary |
3.3.0.post2 |
Official Python wrapper for BGSLibrary |
2024-08-21 16:52:17 |
| veda-lib |
0.0.5 |
veda_lib is a Python library designed to streamline the data preprocessing and cleaning workflow for machine learning projects. It offers a comprehensive set of tools to handle common data preparation tasks |
2024-08-21 13:36:05 |
| PyScrub |
0.0.1 |
PyScrub is a powerful Python library designed to streamline data preprocessing and pipeline automation. It provides efficient tools for data cleaning, transformation, feature engineering, and visualization, all integrated into a reproducible and scalable pipeline framework. |
2024-08-21 11:17:01 |
| OutlierIdentifiers |
0.1.1 |
Outlier identifiers functions package. |
2024-08-21 03:44:29 |
| ebtorch |
0.26.8 |
Collection of PyTorch additions, extensions, utilities, uses and abuses |
2024-08-20 23:10:00 |
| oracle-automlx |
24.3.0 |
Automated Machine Learning with Explainability |
2024-08-20 18:15:51 |
| mlquantify |
0.0.11.6 |
Quantification Library |
2024-08-20 15:46:14 |
| TfELM |
1.1 |
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning algorithm known for their simplicity, efficiency, and scalability, making them ideal for various applications, including classification, regression, and feature learning tasks. |
2024-08-20 09:28:42 |