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reproducibility x

216 search results found

🦉 Data Version Control | Git for Data & Models | ML Experiments Management

Wandb ⭐ 7,286

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Sacred ⭐ 4,081

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

Catalyst ⭐ 3,151

Accelerated deep learning R&D

Lightning Hydra Template ⭐ 2,994

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Garage ⭐ 1,677

A toolkit for reproducible reinforcement learning research.

Evalai ⭐ 1,564

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Benchmark_vae ⭐ 1,468

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.

Mach Nix ⭐ 773

Create highly reproducible python environments

Torch Fidelity ⭐ 645

High-fidelity performance metrics for generative models in PyTorch

Nn Template ⭐ 583

Generic template to bootstrap your PyTorch project.

Mimicry ⭐ 556

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

An open-source, non-intrusive and technology-agnostic toolset to facilitate reproducible research and automate development, benchmarking, optimization, comparison and deployment of AI/ML Systems across diverse and rapidly evolving models, data sets, software and hardware from different vendors and users

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 ⭐ 439

Open solution to the Home Credit Default Risk challenge 🏡

Typed Argument Parser ⭐ 381

Typed argument parser for Python

Open source production model management tool for data scientists

Reprozip ⭐ 282

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

Awesome Reproducible Research ⭐ 279

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

Rna Seq Star Deseq2 ⭐ 260

RNA-seq workflow using STAR and DESeq2

Simple_rl ⭐ 224

A simple framework for experimenting with Reinforcement Learning in Python.

Jax Flows ⭐ 222

Normalizing Flows in JAX 🌊

Hydra Zen ⭐ 219

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

Rl Medical ⭐ 171

Deep Reinforcement Learning (DRL) agents applied to medical images

Evidential Deep Learning ⭐ 157

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

Example Get Started ⭐ 156

Get started DVC project

Accelerator ⭐ 150

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Make Novice ⭐ 148

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 🔬

Manage large and heterogeneous data spaces on the file system.

🐳 A Docker image builder for researchers

A lightweight python library that helps to keep track of numerical experiments

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 ⭐ 101

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

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.

Singularity Hpc ⭐ 90

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

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

Dna Seq Varlociraptor ⭐ 74

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.

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

Execute and document benchmarks reproducibly.

Biosimspace ⭐ 64

Code and resources for the EPSRC BioSimSpace project.

Ml For Science Reproducibility Tutorial ⭐ 63

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.

Rna Seq Kallisto Sleuth ⭐ 62

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

Ro Crate ⭐ 60

Research Object Crate

Halfpipe ⭐ 54

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.

🐶 🕵️ Great Dane turned Python environment detective

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

Catalyst Rl ⭐ 41

Dmriprep ⭐ 39

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.

Open Solution Value Prediction ⭐ 38

Open solution to the Santander Value Prediction Challenge 🐠

Biosimspace ⭐ 38

An interoperable Python framework for biomolecular simulation.

Docker Images ⭐ 36

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

Lite_tracer ⭐ 36

a light weight experiment reproducibility toolset

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

a metric library for Medical Image Segmentation EVALuation

Classification ⭐ 35

Catalyst.Classification

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

Say the magic word 😸

Deep_learning_topology_opt ⭐ 31

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

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

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

2019_materials ⭐ 30

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.

Stratipy ⭐ 29

Graph regularized nonnegative matrix factorization (GNMF) in Python

Daskperiment ⭐ 27

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

Segmentation ⭐ 27

Catalyst.Segmentation

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

A simple automation framework in Python

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

Icpc2020_gnn ⭐ 26

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

3dchromatin_replicateqc ⭐ 25

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

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

Ml Project Template ⭐ 25

ML project template facilitating both research and production phases.

Example Get Started Experiments ⭐ 25

Get started DVC project

Save matplotlib figures with embedded metadata for reproducibility and profit

Reproducibilty Challenge Ecanet ⭐ 22

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

Gptables ⭐ 22

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

Reproducibility Report Countvqa ⭐ 21

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

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)

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

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.

Yet Another Lightning Hydra Template ⭐ 17

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

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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