khalishah

khalishah's Stars

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  26.6k3.6k

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.1k1.2k

• ahkarami/Deep-Learning-in-Production

  In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

  4.3k682

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python6.9k916

• statisticianinstilettos/recmetrics

  A library of metrics for evaluating recommender systems

  Language:Jupyter Notebook561100

• aymanzay/HackerRank-Data-Science

  Data Science/Machine Learning Solutions in Python3

  Language:Python184

• autonlab/auton-survival

  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

  Language:Python30774

• catalyst-team/dl-course

  Deep Learning with Catalyst

  Language:Jupyter Notebook28871

• pzivich/Python-for-Epidemiologists

  Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3

  Language:Jupyter Notebook15538

• pzivich/zEpid

  Epidemiology analysis package

  Language:Python13833

• holtzy/D3-graph-gallery

  A collection of simple graphics made with D3.js

  Language:HTML788237

• yongquanben/sg_taxi_availability

  A data visualization project to show the taxi availability in Singapore

  Language:JavaScript114

• ahthon/straits-times-summarizer

  Scrape and summarize news from The Straits Times

  Language:Python133

• d3/d3-hierarchy

  2D layout algorithms for visualizing hierarchical data.

  Language:JavaScript1.1k312

• stepthom/text_mining_resources

  Resources for learning about Text Mining and Natural Language Processing

  555200

• healthsites/healthsites

  Building an open data commons of health facility data with OpenStreetMap

  Language:JavaScript14349

• atepoorthuis/reversegeocoder

  Fast reverse geocoding in R with R-tree spatial indices

  Language:R3

• atepoorthuis/02526-idv-2020

  Class Website for 02-526 Interactive Data Visualization

  Language:HTML91

• ivan-bilan/The-NLP-Pandect

  A comprehensive reference for all topics related to Natural Language Processing

  Language:Python2k282

• daviddao/awful-ai

  😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

  6.9k228

• open-data-science/ultimate_posts

  Ultimate posts for opendatascience telegram channel

  14950

• kaleko/CourseraML

  I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

  Language:Jupyter Notebook2k789

• dreamquark-ai/tabnet

  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

  Language:Python2.5k469

• apac-ml-tfc/frugal-mlops

  MLOps example with an emphasis on re-using (rather than re-building) artifacts

  Language:Jupyter Notebook72

• aws/sagemaker-experiments

  Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.

  Language:Python12436

• aws/sagemaker-python-sdk

  A library for training and deploying machine learning models on Amazon SageMaker

  Language:Python2.1k1.1k

• apac-ml-tfc/sagemaker-workshop-101

  Hands-on demonstrations for data scientists exploring SageMaker

  Language:Jupyter Notebook4526

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook25.8k7.5k

• alteryx/featuretools

  An open source python library for automated feature engineering

  Language:Python7.1k866

• dataworkshop/xgboost

  Tutorial how to use xgboost

  Language:Jupyter Notebook16578