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Search results for machine learning reproducibility

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reproducibility x

47 search results found

🦉 ML Experiments Management with Git

Wandb ⭐ 8,204

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

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

Evalai ⭐ 1,621

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Mlreef ⭐ 1,403

The collaboration workspace for Machine Learning

Mimicry ⭐ 556

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

Reinforcementlearning.jl ⭐ 538

A reinforcement learning package for Julia

Labnotebook ⭐ 528

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

Quantus ⭐ 460

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Open Solution Home Credit ⭐ 444

Open solution to the Home Credit Default Risk challenge 🏡

Open source production model management tool for data scientists

PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.

Hydra Zen ⭐ 252

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

A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.

Rl Medical ⭐ 171

Deep Reinforcement Learning (DRL) agents applied to medical images

Example Get Started ⭐ 160

Get started DVC project

Lightweight, Python library for fast and reproducible experimentation 🔬

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

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.

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.

Open Solution Googleai Object Detection ⭐ 46

Open solution to the Google AI Object Detection Challenge 🍁

Masakhane Community ⭐ 40

All our community docs! Start here! Lets put Africa on the NLP Map

Open Solution Value Prediction ⭐ 39

Open solution to the Santander Value Prediction Challenge 🐠

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

Classification ⭐ 35

Catalyst.Classification

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

Example Get Started Experiments ⭐ 33

Get started DVC project

Say the magic word 😸

Demo Bank Customer Churn ⭐ 30

Demo DVC project training a classification model on tabular data

Content for ML REPA MeetUps

Daskperiment ⭐ 27

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

Segmentation ⭐ 27

Catalyst.Segmentation

Confidentlearning Reproduce ⭐ 26

Official data release to reproduce Confident Learning paper results

Ml Project Template ⭐ 25

ML project template facilitating both research and production phases.

Synthesizing Robust Adversarial Examples ⭐ 24

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

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)

Mlr3 Learndrake ⭐ 18

Template for using mlr3 with drake

Ck Mlops ⭐ 18

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

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.

Smartpipeline ⭐ 16

A framework for rapid development of robust data pipelines following a simple design pattern

Snapperml ⭐ 15

SnapperML is a framework for machine learning. It has many functionalities including scalability through docker instances and reproducibility.

Lepiszcze ⭐ 11

This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish

Interactive ML Toolset

Amld Reproducible Ml Workshop ⭐ 8

Materials for the "Reproducible ML with Open Source Tooling" workshop at Applied ML Days 2018.

Shinyr Knowledge Repo ⭐ 7

The shinyR curated knowledge sharing platform

A collection of components for transformers 🧩

Satellite_led_liverpool ⭐ 6

Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Machine Learning", by Dani Arribas-Bel, Jorge Patiño and Juanca Duque

Simulation Experiment Description Markup Language (SED-ML)

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