PyDigger - unearthing stuff about Python


NameVersionSummarydate
quasinet 0.0.51 Utitilies for constructing and manipulating models for non-local structural dependencies in genomic sequences 2020-07-12 17:17:17
tfg-nightly 2020.7.12 A library that contains well defined, reusable and cleanly written graphics related ops and utility functions for TensorFlow. 2020-07-12 00:57:48
plynx 1.4.1 ML platform 2020-07-11 21:57:08
sri-autoflow 1.0.3 Autoflow is a tool that explores available primitives and assembles them into pipelines that discover a solution to various problem types 2020-07-11 17:12:12
krypton-ml 0.1.1 Model Server for ML and DL Models built using FastAPI 2020-07-11 14:46:21
netron 4.3.9 Viewer for neural network, deep learning and machine learning models 2020-07-11 07:02:33
peak-engines 0.2.2 Build Warped Linear Regression Models 2020-07-11 01:20:16
neuralqa 0.0.17a0 NeuralQA: Question Answering on Large Datasets 2020-07-10 21:29:43
roleml 0.2.1 ML classifier for role in Riot API LoL matches 2020-07-10 17:02:08
sefr 1.0.2 A Fast Linear-Time Classifier for Ultra-Low Power Devices 2020-07-10 15:07:38
xiRT 1.0.32 xiRT: Multi-dimensional Retention Time Prediction for Linear and Crosslinked Peptides. 2020-07-10 12:00:29
mlchain 0.1.0 MLchain Python Library 2020-07-10 10:04:33
mlchain-extension 0.0.2 MLchain Extension Python Library 2020-07-10 09:59:50
mljar-supervised 0.5.2 Automated Machine Learning for Supervised tasks 2020-07-10 07:24:33
nemo-toolkit 0.11.0 NEMO core package. Necessary for all collections 2020-07-10 00:01:19
gradio 1.0.0 Python library for easily interacting with trained machine learning models 2020-07-09 22:28:39
mc4 2.2.0 A python package for implementing Markov Chain Type 4 rank aggregation 2020-07-09 14:55:37
trixs 2020.7.8 Data analysis and machine learning for X-ray spectroscopy 2020-07-09 02:23:14
DeepXDE 0.8.3 Deep learning library for solving differential equations 2020-07-08 23:59:02
explainerdashboard 0.2.0.2 explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model. 2020-07-08 19:42:53
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