- How do you handle systematic experiments and recording results? https://github.com/IDSIA/sacred 6 comments datascience
Linking pages
- GitHub - EleutherAI/gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. https://github.com/EleutherAI/gpt-neo/ 127 comments
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - IDSIA/brainstorm: Fast, flexible and fun neural networks. https://github.com/IDSIA/brainstorm 18 comments
- GitHub - basveeling/wavenet: Keras WaveNet implementation https://github.com/basveeling/wavenet/ 15 comments
- The Data Science Workflow. Suppose you are starting a new data… | by Konstantin | Towards Data Science https://medium.com/@kt.era.ee/the-data-science-workflow-43859db0415 9 comments
- GitHub - tensorchord/Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers https://github.com/tensorchord/Awesome-LLMOps 5 comments
- Mandala: Python programs that save, query and version themselves | Alex Makelov https://amakelov.github.io/blog/pl/ 4 comments
- How to be a 10x data scientist. I’m going to tell you what it takes to… | by Daoud Clarke | Towards Data Science https://towardsdatascience.com/how-to-be-a-10x-data-scientist-4718accf7d3f 3 comments
- Top Tools for Machine Learning (ML) Experiment Tracking and Management - MarkTechPost https://www.marktechpost.com/2022/10/06/top-tools-for-machine-learning-ml-experiment-tracking-and-management/ 1 comment
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- GitHub - henripal/labnotebook: LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments. https://github.com/henripal/labnotebook 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- How to be a 10x data scientist. I’m going to tell you what it takes to… | by Daoud Clarke | Towards Data Science https://towardsdatascience.com/how-to-be-a-10x-data-scientist-4718accf7d3f?sk=83b195f538a771b284e13be4b8b6da11&source=friends_link 0 comments
- Top Tools To Log And Manage Machine Learning Models - MarkTechPost https://www.marktechpost.com/2022/11/27/top-tools-to-log-and-manage-machine-learning-models/ 0 comments
- GitHub - tensorchord/awesome-open-source-mlops: An awesome & curated list of best open source MLOps/LLMOps tools for data scientists. https://github.com/tensorchord/awesome-open-source-mlops 0 comments
Linked pages
- GitHub - psf/black: The uncompromising Python code formatter https://github.com/ambv/black 285 comments
- MIT License | Choose a License http://choosealicense.com/licenses/mit/ 19 comments
- The MIT License | Open Source Initiative https://opensource.org/licenses/MIT 15 comments
- RESTHeart - Ready to use backend for Web and Mobile apps. http://restheart.org 1 comment
- tox https://tox.readthedocs.io/en/latest/ 0 comments
- neptune.ai | The MLOps stack component for experiment tracking https://neptune.ai 0 comments
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