GitHub Trending Daily for 2020-08-18

trending

java

scala

  • intel-analytics/BigDL

    BigDL: Distributed Deep Learning Framework for Apache Spark

  • delta-io/delta

    An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

  • zio/zio

    ZIO — A type-safe, composable library for async and concurrent programming in Scala

  • freechipsproject/chisel3

    Chisel 3: A Modern Hardware Design Language

  • JohnSnowLabs/spark-nlp

    State of the Art Natural Language Processing

  • spotify/scio

    A Scala API for Apache Beam and Google Cloud Dataflow.

  • polynote/polynote

    A better notebook for Scala (and more)

  • typelevel/cats

    Lightweight, modular, and extensible library for functional programming.

  • akka/alpakka-kafka

    Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka.

  • akka/akka

    Build highly concurrent, distributed, and resilient message-driven applications on the JVM

  • apache/spark

    Apache Spark - A unified analytics engine for large-scale data processing

  • Azure/mmlspark

    Microsoft Machine Learning for Apache Spark

  • rtyley/bfg-repo-cleaner

    Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala

  • azavea/franklin

    A STAC/OGC API Features Web Service

kotlin

swift

python

  • Palashio/libra

    Ergonomic machine learning for everyone.

  • openai/image-gpt

  • google/latexify_py

    Generates LaTeX math description from Python functions.

  • edx/edx-platform

    The Open edX platform, the software that powers edX!

  • sherlock-project/sherlock

    Hunt down social media accounts by username across social networks

  • donnemartin/data-science-ipython-notebooks

    Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • donnemartin/system-design-primer

    Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  • PyGithub/PyGithub

    Typed interactions with the GitHub API v3

  • doccano/doccano

    Open source text annotation tool for machine learning practitioner.

  • MrMimic/data-scientist-roadmap

    Toturial coming with "data science roadmap" graphe.

  • h1st-ai/h1st

    Get a FREE premium T-shirt and celebrate the launch of H1st AI! https://bit.ly/free-tshirt-for-h1st — H1st AI solves three critical challenges in real-world data science: Can‘t Start: Industrial AI needs human insight. Can‘t Profit: DS needs human tools. Can‘t Deploy: AI needs human trust.

  • KurtBestor/Hitomi-Downloader

    Desktop application to download images/videos/music/text from Hitomi.la and other sites, and more.

  • openai/spinningup

    An educational resource to help anyone learn deep reinforcement learning.

  • getsentry/sentry

    Sentry is cross-platform application monitoring, with a focus on error reporting.

  • mingrammer/diagrams

    Diagram as Code for prototyping cloud system architectures

  • localstack/localstack

    A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline!

  • openai/gym

    A toolkit for developing and comparing reinforcement learning algorithms.

  • alexandreborges/malwoverview

    Malwoverview is a first response tool to perform an initial and quick triage in a directory containing malware samples, specific malware sample, suspect URL and domains. Additionally, it allows to download and send samples to main online sandboxes.

  • flairNLP/flair

    A very simple framework for state-of-the-art Natural Language Processing (NLP)

  • dabeaz-course/practical-python

    Practical Python Programming (course by @dabeaz)

  • dunnousername/yanderifier

    completely setup environment with GUI for first-order-motion deepfakes (this repo serves as an easy way to distribute these files to non-technical users, rather than as an exercise in the "right way of doing things.")

  • ansible-collections/community.general

  • facebookresearch/detectron2

    Detectron2 is FAIR's next-generation platform for object detection and segmentation.

  • great-expectations/great_expectations

    Always know what to expect from your data.

  • materialsproject/pymatgen

    Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.

javascript

typescript

go

rust