PyDigger - unearthing stuff about Python


NameVersionSummarydate
swanboard 0.1.6 Dashboard for SwanLab. 2024-11-24 09:14:15
snapper-ml 0.4.1 A framework for reproducible machine learning 2024-11-12 18:25:51
expyrun 0.2.0 Run reproducible experiments from yaml configuration file 2024-10-24 14:25:36
gradio-rich-textbox 0.4.3 Gradio custom component for rich text input 2024-10-21 16:27:26
gradio-imageslider-momen 0.0.32 A Gradio component for comparing two images. This component can be used in several ways: - as a **unified input / output** where users will upload a single image and an inference function will generate an image it can be compared to (see demo), - as a **manual upload input** allowing users to compare two of their own images (which can then be passed along elsewhere, e.g. to a model), - as **static output component** allowing users to compare two images generated by an inference function. 2024-10-15 20:56:35
sierra-research 1.3.11 Automation framework for the scientific method in AI research 2024-09-23 16:28:23
moabb 1.1.1 Mother of All BCI Benchmarks 2024-09-18 11:27:49
rliable 1.2.0 rliable: Reliable evaluation on reinforcement learning and machine learning benchmarks. 2024-08-12 20:50:58
valconfig 0.1.2 Simple, extendable configuration files, using Pydantic for validation. 2024-08-09 20:54:15
firelink-shrine 0.0.0 A library for reproducible model training 2024-08-03 18:32:07
cm4mlperf 4.1.0.2 None 2024-07-10 02:07:41
cm-mlperf 0.9.1 None 2024-06-25 08:38:39
ml2json 0.4.0 A safe, transparent way to share and deploy scikit-learn models. 2024-06-08 22:37:37
gradio-unifiedaudio 0.0.4 Python library for easily interacting with trained machine learning models 2024-06-05 19:47:30
pyxet 0.1.10 pyxet is a Python library that provides a lightweight interface for the XetHub platform. 2024-05-21 19:36:50
ZnTrack 0.7.3 Create, Run and Benchmark DVC Pipelines in Python 2024-05-14 14:41:55
simbench 1.5.3 Electrical Power System Benchmark Models. 2024-04-23 13:51:57
gradio-imageslider 0.0.20 A Gradio component for comparing two images. This component can be used in several ways: - as a **unified input / output** where users will upload a single image and an inference function will generate an image it can be compared to (see demo), - as a **manual upload input** allowing users to compare two of their own images (which can then be passed along elsewhere, e.g. to a model), - as **static output component** allowing users to compare two images generated by an inference function. 2024-04-19 14:41:11
sciunit2 0.4.post115.dev43584757 Sciunit command line 2024-03-25 23:28:54
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