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reproducibility x

168 search results found

🦉 ML Experiments Management with Git

Sacred ⭐ 4,152

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Catalyst ⭐ 3,151

Accelerated deep learning R&D

Garage ⭐ 1,677

A toolkit for reproducible reinforcement learning research.

Evalai ⭐ 1,621

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Benchmark_vae ⭐ 1,597

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Vps Comparison ⭐ 1,316

A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.

Recsys2019_deeplearning_evaluation ⭐ 871

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Torch Fidelity ⭐ 820

High-fidelity performance metrics for generative models in PyTorch

Mach Nix ⭐ 805

Create highly reproducible python environments

Mimicry ⭐ 556

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Labnotebook ⭐ 528

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Open Solution Home Credit ⭐ 444

Open solution to the Home Credit Default Risk challenge 🏡

Typed Argument Parser ⭐ 424

Typed argument parser for Python

Open source production model management tool for data scientists

Reprozip ⭐ 286

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

Rna Seq Star Deseq2 ⭐ 282

RNA-seq workflow using STAR and DESeq2

Awesome Reproducible Research ⭐ 282

A curated list of reproducible research case studies, projects, tutorials, and media

Hydra Zen ⭐ 252

Create powerful Hydra applications without the yaml files and boilerplate code.

Simple_rl ⭐ 224

A simple framework for experimenting with Reinforcement Learning in Python.

Jax Flows ⭐ 222

Normalizing Flows in JAX 🌊

Anaconda Project ⭐ 214

Tool for encapsulating, running, and reproducing data science projects

Rl Medical ⭐ 171

Deep Reinforcement Learning (DRL) agents applied to medical images

Example Get Started ⭐ 160

Get started DVC project

Evidential Deep Learning ⭐ 157

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

Make Novice ⭐ 151

Automation and Make

A tool to nicely wrap-up your python softwares

Randomnas_release ⭐ 140

Code release for paper "Random Search and Reproducibility for NAS"

Dna Seq Gatk Variant Calling ⭐ 138

This Snakemake pipeline implements the GATK best-practices workflow

Msdnet Gcn ⭐ 137

ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction

Lightweight, Python library for fast and reproducible experimentation 🔬

Yet Another Lightning Hydra Template ⭐ 129

Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

Manage large and heterogeneous data spaces on the file system.

🐳 A Docker image builder for researchers

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Rubicon Ml ⭐ 107

Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

ForML - A development framework and MLOps platform for the lifecycle management of data science projects

Singularity Hpc ⭐ 96

Local filesystem registry for containers (intended for HPC) using Lmod or Environment Modules. Works for users and admins.

Vistrails ⭐ 92

VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these products and their executions.

Dna Seq Varlociraptor ⭐ 76

A Snakemake workflow for calling small and structural variants under any kind of scenario (tumor/normal, tumor/normal/relapse, germline, pedigree, populations) via the unified statistical model of Varlociraptor.

Meta Blocks ⭐ 75

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

Jama16 Retina Replication ⭐ 75

JAMA 2016; 316(22) Replication Study

Automated Quantum Mechanical Environments (AQME) offers transparent and reproducible workflows available for Jupyter Notebooks and command lines, including: 1) RDKit- and CREST-based conformer generation, 2) QM input file creation, 3) post-processing of QM output files, 4) generation of xTB, DFT and RDKit descriptors. https://aqme.readthedocs.io

Deep_learning_topology_opt ⭐ 72

Code for paper "Self-Directed Online Machine Learning for Topology Optimization"

Execute and document benchmarks reproducibly.

Ro Crate ⭐ 67

Research Object Crate

Ml For Science Reproducibility Tutorial ⭐ 64

Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.

Biosimspace ⭐ 64

Code and resources for the EPSRC BioSimSpace project.

Rna Seq Kallisto Sleuth ⭐ 63

A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.

Dmriprep ⭐ 61

dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Halfpipe ⭐ 56

ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data

Multiple hypothesis testing in Python

Experiments logging & visualization

Tensorhub ⭐ 48

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Biosimspace ⭐ 48

An interoperable Python framework for biomolecular simulation.

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

🐶 🕵️ Great Dane turned Python environment detective

Catalyst Rl ⭐ 41

Open Solution Value Prediction ⭐ 39

Open solution to the Santander Value Prediction Challenge 🐠

Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.

Lite_tracer ⭐ 36

a light weight experiment reproducibility toolset

Docker Images ⭐ 36

SAT Heritage: a community-driven effort for archiving, building and running more than thousand SAT solvers

a metric library for Medical Image Segmentation EVALuation

Classification ⭐ 35

Catalyst.Classification

Network Performance Framework: easy-to-use experiment manager with automated testing, result collection, and graphing

Reverse_argparse ⭐ 34

A Python library to determine what exactly the user ran at the command line, along with default values, and any transformations that happened after parsing arguments.

Example Get Started Experiments ⭐ 33

Get started DVC project

Repro is a library for easily running code from published papers via Docker.

Prepare Raspberry Pi 3 & 4 configurations using a virtual machine.

👜 Easily pick a place to store data for your Python code.

Say the magic word 😸

Demo Bank Customer Churn ⭐ 30

Demo DVC project training a classification model on tabular data

Walnet Weak_label_analysis ⭐ 30

Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.

2019_materials ⭐ 30

Textnormseq2seq ⭐ 30

Code and model files for paper: I. Lourentzou et al., Adapting Sequence to Sequence models for Text Normalization in Social Media", ICWSM'19

Stratipy ⭐ 29

Graph regularized nonnegative matrix factorization (GNMF) in Python

Ssp Mmc Plus ⭐ 29

Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory

ukbREST: efficient and streamlined data access for reproducible research of large biobanks

Daskperiment ⭐ 27

Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.

Segmentation ⭐ 27

Catalyst.Segmentation

Import packages in Python, even if they aren't installed!

A simple automation framework in Python

Icpc2020_gnn ⭐ 26

Code for the ICPC 2020 paper Improved Source Code Summarization via a Graph Neural Network

Ml Project Template ⭐ 25

ML project template facilitating both research and production phases.

3dchromatin_replicateqc ⭐ 25

Software to compute reproducibility and quality scores for Hi-C data

Save matplotlib figures with embedded metadata for reproducibility and profit

Umls_downloader ⭐ 23

Don't worry about UMLS, RxNorm, SNOMED, or SemMedDB licensing - write code that knows how to download it automatically

Gptables ⭐ 22

Good Practice Tables - an XlsxWriter wrapper to write consistently formatted statistical tables to Excel.

Reproducibilty Challenge Ecanet ⭐ 22

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Reproducibility Report Countvqa ⭐ 21

Benchmarking ⭐ 21

📊 Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework" (http://arxiv.org/abs/2006.13365)

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

Pyspectools ⭐ 20

Routines for rotational spectroscopy analysis written in Python 3

Cytograph ⭐ 20

Algorithms for single-cell analysis

Pigx_rnaseq ⭐ 19

Pipeline for RNAseq

Reproducibilityincontinuouspolicygradientmethods ⭐ 18

These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implementation.

Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.

Autoreviewer ⭐ 17

👁️‍🗨️ Scientists often do the same bad stuff. Automate giving feedback during peer review.

Papers As Modules ⭐ 17

Software Papers as Software Modules: Towards a Culture of Reusable Results

Wsol Min Max Entropy Interpretability ⭐ 16

Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization

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