Tracker is a CLI for easy creation of reproducible Robotics and ML research
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Updated
Jul 9, 2020 - Python
Tracker is a CLI for easy creation of reproducible Robotics and ML research
Experiments with forward gradients on optimization test functions
Separated data prep. / plot building stages for matplotlib
A Python package based on the ASpecD framework for handling TREPR data.
Guidelines and resources for building a (Re)producibility (Pro)of
Reading Wikipedia to Answer Open-Domain Questions
The code and analysis behind the reports published by the Philadelphia Controller's Office
CLI utility to enable file handling into Reprozip Docker environments.
Snakemake workflow for performing an RNA-seq analysis
Experiments testing ordinal and multiple instance learning neural networks
Sources for: Numerical Simulations of a Spin Dynamics Model Based on a Path Integral Approach
🦁 An open-source NLP framework that offers high-level wrappers designed for effortless launch, enhanced reproducibility, superior control, and unmatched flexibility for your experiments.
Produce reports from Markdown with embedded Python code blocks
Tools for plotting in hopes of encouraging reproducible research.
A functional interface for creating doit tasks
Recurrent Covolutional Neual Network implementation in TF2.0
Bayesian Neural Network (BNN) implementations based on Langevin Dynamics and tested on real-world data
ACES: Automatic Cohort Extraction System for Event-Streams
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