| Name | Version | Summary | date |
| pyplaid |
0.1.10 |
A package that implements a data model tailored for AI and ML in the context of physics problems |
2025-10-29 15:27:46 |
| stable-cart |
0.3.0 |
Unified stable CART decision trees with 7 stability primitives and cross-method learning for enhanced prediction stability. |
2025-10-29 05:50:39 |
| aenet-gpr |
3.1.6 |
Atomistic simulation tools based on Gaussian Processes Regression |
2025-10-28 21:24:57 |
| reax |
0.6.0 |
REAX: A simple training framework for JAX-based projects |
2025-10-28 20:31:46 |
| numbin |
0.5.1 |
an efficient binary serialization format for numerical data |
2025-10-28 11:34:56 |
| featrixsphere |
0.2.223 |
Transform any CSV into a production-ready ML model in minutes, not months. |
2025-10-28 00:59:13 |
| pytaught |
1.0.0 |
A minimal ML/DL framework written in pure Python and NumPy. |
2025-10-27 14:58:03 |
| framework3 |
1.0.23 |
A flexible framework for machine learning pipelines |
2025-10-25 14:09:29 |
| noventis |
0.1.5 |
An all-in-one automation library that simplifies data cleaning, exploratory data analysis, and machine learning — from raw data to ready-to-deploy models. |
2025-10-25 13:37:40 |
| flashmd |
0.2.2 |
Accelerated molecular dynamics with large-time-step predictions |
2025-10-24 19:58:09 |
| swanlab |
0.6.13 |
Python library for streamlined tracking and management of AI training processes. |
2025-10-24 11:16:43 |
| lbmd-sota |
1.0.1 |
Latent Boundary Manifold Decomposition for State-of-the-Art Mechanistic Interpretability |
2025-10-23 21:05:17 |
| jax-tvm-ffi |
0.1.1 |
None |
2025-10-23 14:50:41 |
| nthuku-fast |
0.1.2 |
Nthuku-Fast: A blazing-fast multimodal AI model with vision and language understanding |
2025-10-22 18:29:22 |
| b10-kernel |
0.1.5 |
Baseten Kernel Library |
2025-10-22 13:07:49 |
| crypticorn |
3.1.1 |
Maximise Your Crypto Trading Profits with Machine Learning |
2025-10-21 20:46:51 |
| mltrackflow |
0.1.2 |
Makine öğrenimi eğitim süreçlerini şeffaf ve izlenebilir hale getiren kapsamlı Python kütüphanesi |
2025-10-21 12:34:21 |
| metatrain |
2025.11 |
Training and evaluating machine learning models for atomistic systems. |
2025-10-21 09:28:39 |
| apache-tvm-ffi |
0.1.0 |
tvm ffi |
2025-10-21 04:22:56 |
| lume-model |
2.0.1 |
Data structures used in the LUME modeling toolset. |
2025-10-20 18:29:08 |