Hacker News
- FastText – Library for fast text representation and classification https://github.com/facebookresearch/fastText 52 comments
Linking pages
- Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning than Cloud GPUs | Max Woolf's Blog http://minimaxir.com/2017/07/cpu-or-gpu/ 104 comments
- AI Researchers Estimate 97% Of EU Websites Fail GDPR Privacy Requirements- Especially User Profiling - Unite.AI https://www.unite.ai/ai-researchers-estimate-97-of-eu-websites-fail-gdpr-privacy-requirements-especially-user-profiling/ 70 comments
- GitHub - deepdoctection/deepdoctection: A Repo For Document AI https://github.com/deepdoctection/deepdoctection 63 comments
- A Rant on Kaggle Competition Code (and Most Research Code) – Neuraxio https://www.neuraxio.com/en/blog/clean-code/2019/12/26/machine-learning-competition-code.html 14 comments
- GitHub - andrewt3000/DL4NLP: Deep Learning for NLP resources https://github.com/andrewt3000/DL4NLP 14 comments
- Ruby ML for Python Coders https://ankane.org/ruby-ml-for-python-coders 11 comments
- 25 Open-Source Machine Learning Repos to Inspire Your Next Project | by Khoa Pham | Heartbeat https://heartbeat.fritz.ai/25-open-source-machine-learning-repos-to-inspire-your-next-project-3b027a90155 7 comments
- GitHub - maziarraissi/Applied-Deep-Learning: Applied Deep Learning Course https://github.com/maziarraissi/Applied-Deep-Learning 6 comments
- GitHub - oprogramador/github-languages: GitHub languages statistics https://github.com/oprogramador/github-languages 5 comments
- GitHub - facebookresearch/StarSpace: Learning embeddings for classification, retrieval and ranking. https://github.com/facebookresearch/StarSpace 1 comment
- Predicting the Success of a Reddit Submission with Deep Learning and Keras | Max Woolf's Blog https://minimaxir.com/2017/06/reddit-deep-learning/ 1 comment
- Natural language understanding: How deep is too deep? https://ilyaeck.github.io/2016/09/12/Natural-language-understanding-How-deep-is-too-deep.html 1 comment
- GitHub - martialblog/word_embedding_storage: Storage and retrieval of Word Embeddings in various databases https://github.com/martialblog/word_embedding_storage 1 comment
- How to better configure your cache — GPTCache https://gptcache.readthedocs.io/en/latest/configure_it.html 1 comment
- Tides of Information Flow: Visualizing Our Digitally-Mediated Reality | by joseph reisinger | Medium https://medium.com/@josephreisinger/tides-of-information-flow-visualizing-our-digitally-mediated-reality-f98a61fef701 0 comments
- GitHub - facebookresearch/MUSE: A library for Multilingual Unsupervised or Supervised word Embeddings https://github.com/facebookresearch/MUSE 0 comments
- GitHub - Kyubyong/nlp_tasks: Natural Language Processing Tasks and References https://github.com/Kyubyong/nlp_tasks 0 comments
- How to Actually Use ML in Production: Text Classification | by Caleb Kaiser | Medium https://towardsdatascience.com/how-to-actually-use-ml-in-production-text-classification-1e27bb5ac64d 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- Amazon SageMaker BlazingText: Parallelizing Word2Vec on Multiple CPUs or GPUs | AWS Machine Learning Blog https://aws.amazon.com/blogs/machine-learning/amazon-sagemaker-blazingtext-parallelizing-word2vec-on-multiple-cpus-or-gpus/ 0 comments
Linked pages
- GitHub - pybind/pybind11: Seamless operability between C++11 and Python https://github.com/pybind/pybind11 151 comments
- Debian -- Debian “jessie” Release Information https://www.debian.org/releases/jessie/ 30 comments
- [1607.01759] Bag of Tricks for Efficient Text Classification https://arxiv.org/abs/1607.01759 15 comments
- fastText https://fasttext.cc/ 7 comments
- Continuous Integration and Delivery - CircleCI https://circleci.com/ 1 comment
- [1612.03651] FastText.zip: Compressing text classification models https://arxiv.org/abs/1612.03651 0 comments
- [1607.04606] Enriching Word Vectors with Subword Information https://arxiv.org/abs/1607.04606 0 comments
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