Hacker News
- Deep Learning Papers Are Kinda Bullsh-T https://dagshub.com/blog/unraveling-the-deep-learning-reproducibility-crisis/ 64 comments
- YOLOv6: Redefine state-of-the-art for object detection https://dagshub.com/blog/yolov6/ 61 comments
- Reverse Engineering Google Colab https://dagshub.com/blog/reverse-engineering-google-colab/ 26 comments
- Github Copilot Wants to Play Chess Instead of Code https://dagshub.com/blog/github-copilot-not-code/ 164 comments
- GitHub Copilot Wants to Play Chess Instead of Code https://dagshub.com/blog/github-copilot-not-code/ 2 comments
- Show HN: Data Science Pull Requests– Review and merge code, data and experiments https://dagshub.com/blog/data-science-pull-requests/ 3 comments
- Docker for Data Science – A Step by Step Guide https://dagshub.com/blog/setting-up-data-science-workspace-with-docker/ 3 comments
- Examples of Active Learning (semi-supervised learning) in the industry being useful? [Q] https://dagshub.com/blog/active-learning-your-way-to-better-models/ 4 comments statistics
- [P] Setting up SageMaker for CI/CD Pipelines https://dagshub.com/blog/setup-sagemaker-for-ci-cd-pipelines/ 2 comments machinelearning
- [P] How to install Kubeflow locally https://dagshub.com/blog/how-to-install-kubeflow-locally 9 comments machinelearning
- How to install Kubeflow locally https://dagshub.com/blog/how-to-install-kubeflow-locally 3 comments learnmachinelearning
- [D][P] YOLOv6: state-of-the-art object detection at 1242 FPS https://dagshub.com/blog/yolov6/ 48 comments machinelearning
- Reverse Engineering Google Colab https://dagshub.com/blog/reverse-engineering-google-colab/ 8 comments programming
- [P] Reverse Engineering Google Colab https://dagshub.com/blog/reverse-engineering-google-colab/ 14 comments machinelearning
- [AskJS] May I ask, what is the name of this effect? Some kind of vortex effect. https://dagshub.com/ 23 comments javascript
- [N] Launching DagsHub 2.0 – Git-integrated data labeling and smart ML discussions https://dagshub.com/DAGsHub-Official/annotations-showcase 3 comments machinelearning
- [D] What open-source dataset lacks annotations? https://dagshub.com/DagsHub/audio-datasets 4 comments machinelearning
Linking pages
- 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 - CrowdDotDev/awesome-oss-investors: Awesome list of VCs investing in commercial open-source startups 💸 https://github.com/CrowdDotDev/awesome-oss-investors 8 comments
- GitHub - meituan/YOLOv6: YOLOv6: a single-stage object detection framework dedicated to industrial applications. https://github.com/meituan/YOLOv6 7 comments
- GitHub - daefresh/awesome-data-temporality: A curated list to help you manage temporal data across many modalities 🚀. https://github.com/daefresh/awesome-data-temporality 3 comments
- Bringing software development principles to Machine Learning https://sachinchandra.substack.com/p/bringing-software-development-principles 2 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 - DagsHub/fds: Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc https://github.com/dagshub/fds 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- GitHub - ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities. https://github.com/ChristosChristofidis/awesome-deep-learning 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/okulbilisim/awesome-datascience 0 comments
- DagsHub: a GitHub Supplement for Data Scientists and ML Engineers | by Khuyen Tran | Towards Data Science https://towardsdatascience.com/dagshub-a-github-supplement-for-data-scientists-and-ml-engineers-9ecaf49cc505 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/bulutyazilim/awesome-datascience 0 comments
- GitHub - paperswithcode/releasing-research-code: Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations) https://github.com/paperswithcode/releasing-research-code 0 comments
- GitHub - DagsHub/client: DagsHub client libraries https://github.com/DagsHub/client 0 comments
- Connected Papers — Post Launch Community Update | by Eddie Smolyansky | Connected Papers | Medium https://medium.com/connectedpapers/connected-papers-post-launch-community-update-64d952423d56 0 comments
- New arXivLabs integrations provide insights into the academic “influence” of researchers and enable reproducibility through access to data and code – arXiv blog https://blog.arxiv.org/2023/03/27/new-arxivlabs-integrations-provide-insights-into-the-academic-influence-of-researchers-and-enable-reproducibility-through-access-to-data-and-code/ 0 comments