Out of the 159 papers listed in this repository, only 41 articles provide their source code. Repeatability is the key to good science. Below is a list of useful links for reproducibility and replicability in Science:
- DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
- Audio Processing Seminar 2016: Reproducible Research
- Reproducible Research in Signal Processing - What, why, and how
- List of Reproducible Audio Research Papers
- ReScience initiative
- Workshop on reproducibility and replication in ML
- ICLR 2018 Reproducibility Challenge
- Reproducibility in Machine Learning-Based Studies: An Example of Text Mining
- Nature's insights on reproducibility
- The titans of AI are getting their work double-checked by students
- Anonymous GitHub for double-blind peer-review
- Automated collection and reporting of citations for used software/methods/datasets
- EvalAI - Evaluating state of the art in AI
- Open Science List - Awesome open list of pointers about open science for software and computational science
- Twitter post - Advice from Ian Goodfellow
- Dissemin - Open Access facilitator from Dissemin
- Do software and data products advance biology more than papers?
- Before reproducibility must come preproducibility - Science should be ‘show me’, not ‘trust me’; it should be ‘help me if you can’, not ‘catch me if you can’.