jwsmithers

jwsmithers's Stars

• avivcaspi/TennisProject

  Language:Python6820

• ArtLabss/tennis-tracking

  Open-source Monocular Python HawkEye for Tennis

  Language:Python41899

• aws-solutions/video-on-demand-on-aws-foundation

  How to implement a video-on-demand workflow on AWS leveraging AWS Lambda, AWS Elemental MediaConvert, Amazon s3 and Amazon CloudWatch. Source code for Video on Demand on AWS Foundation solution.

  Language:JavaScript12478

• erdewit/ib_insync

  Python sync/async framework for Interactive Brokers API

  Language:Python2.8k754

• doccano/doccano

  Open source annotation tool for machine learning practitioners.

  Language:Python9.5k1.7k

• ensignavenger/tagulous

  Language:Python45

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.6k8.4k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.4k2.2k

• scikit-hep/pyhf

  pure-Python HistFactory implementation with tensors and autodiff

  Language:Python28383

• djaodjin/djaodjin-saas

  Django application for software-as-service and subscription businesses

  Language:Python562124

• microsoft/VoTT

  Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

  Language:TypeScript4.3k837

• HumanSignal/labelImg

  LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

  Language:Python22.6k6.3k

• erdewit/nest_asyncio

  Patch asyncio to allow nested event loops

  Language:Python69279

• cool-RR/PySnooper

  Never use print for debugging again

  Language:Python16.4k951

• tensorpack/tensorpack

  A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

  Language:Python6.3k1.8k

• davidfraser/pyan

  pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

  Language:Python630125

• iml-wg/HEP-ML-Resources

  Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

  Language:TeX330115

• matthewfeickert/Statistics-Notes

  Personal notes on statistics with a focus on applications to experimental high energy physics

  Language:Jupyter Notebook275