Name | Version | Summary | date |
wittgenstein |
0.3.4 |
Ruleset covering algorithms for explainable machine learning |
2023-04-03 22:00:12 |
catalyst-pdm |
22.4.1 |
Catalyst fork compatible with PDM |
2023-04-03 21:30:57 |
delve |
0.1.50 |
Delve lets you monitor PyTorch model layer saturation during training |
2023-03-31 21:51:17 |
metats |
0.2.1 |
Meta-Learning for Time Series Forecasting |
2023-03-30 09:33:50 |
akademy |
0.1.51 |
akademy: A Reinforcement Learning Framework |
2023-03-29 00:16:07 |
dataset-bias-metrics |
0.1 |
Dataset demographic bias metrics |
2023-03-28 10:07:18 |
airgym |
0.0.5 |
OpenAI Gym environment for training reinforcement learning agents on an XPlane simulator |
2023-03-27 15:27:55 |
semal |
0.0.1 |
Tools for deserializing sklearn objects |
2023-03-26 20:18:45 |
boltzmann-policy-distribution |
0.0.6 |
Code for the ICLR 2022 paper "The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models" |
2023-03-22 21:05:52 |
pydatascience |
0.0.3 |
Data Science Functions |
2023-03-22 07:36:22 |
politicsnlp |
0.0.21 |
Python Narrating Politics |
2023-03-22 03:56:17 |
mrl-pypi |
0.1.5 |
Molecular reinforcement learning |
2023-03-22 03:19:19 |
tinypipeline |
0.3.0 |
A tiny mlops library for building machine learning pipelines on your local machine. |
2023-03-21 03:14:48 |
model-inference-fastapi |
0.0.1a0 |
Use fastapi for model inference over http |
2023-03-19 13:52:53 |
lumispy |
0.2.2 |
Analysis of luminescence spectroscopy data with HyperSpy. |
2023-03-17 23:26:04 |
molda |
0.1.2 |
Molda is a sci-kit learn inspired Python library for text vectorization of corpora. It is adapted to work in pipelines and numpy arrays. |
2023-03-16 18:45:13 |
cluster-over-sampling |
0.5.0 |
A general interface for clustering based over-sampling algorithms. |
2023-03-16 11:38:41 |
numeric-grad |
0.0.4 |
Small library for computing gradients of functions that are commonly used in Machine Learning and Deep Learning. |
2023-03-16 04:28:22 |
nudeny-py |
0.0.2 |
Image nudity classification and detection package. |
2023-03-15 14:15:27 |
copro |
0.1.2 |
Python-model build on scikit-learn functions, designed to facilitate the set-up, execution, and evaluation of machine-learning models for the study of the climate-conflict nexus. |
2023-03-15 10:50:37 |