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README.md

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DataHack Resources 2019

This is a list of resources for DataHack, and includes link to repositories and guides for machine learning and data science. Want to join DataHack 2019? Go to https://registration.datahack.org.il

General Resources 🤖

Blog Posts

Awesome Lists

Repositories

  • Tensor2Tensor GitHub repository - A library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research

Vision & Image 👁️ + 🖼️

Awesome Lists

Datasets

NLP 💬

Awesome Lists

  • Awesome NLP - 📖 A curated list of resources dedicated to Natural Language Processing (NLP)

Repositories

  • Fairseq - A sequence modeling toolkit enabling training custom models for translation, summarization, language modeling and other text generation tasks. It provides reference implementations of various sequence-to-sequence models
  • OpenAI GPT-2 - A really good pretrained language model (Code for the paper "Language Models are Unsupervised Multitask Learners")

Datasets

Voice & Audio 📣

Blog Posts

Awesome Lists

Repositories

Datasets

Tabular Data 📊

Blog Posts

Awesome Lists

Repositories

  • XGBoost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Datasets

Tip!

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About

This is a list of resources for DataHack, and includes link to repositories and guides for machine learning and data science. Want to join DataHack 2019? Go to

https://www.datahack.org.il
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