PyDigger - unearthing stuff about Python


NameVersionSummarydate
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
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