chaitanyakasaraneni

chaitanyakasaraneni's Stars

• donnemartin/system-design-primer

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

  Language:Python270k6.6k31845.6k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python184k5.9k1.5k44.3k

• MunGell/awesome-for-beginners

  A list of awesome beginners-friendly projects.

  67.7k1.3k1626.9k

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.1k3451.1k12.2k

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.1k2.3k1139.8k

• eugeneyan/applied-ml

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

  27.2k947243.7k

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22k1.5k12315.1k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.5k713263.9k

• InterviewReady/system-design-resources

  These are the best resources for System Design on the Internet

  15.7k29551.9k

• careercup/CtCI-6th-Edition

  Cracking the Coding Interview 6th Ed. Solutions

  Language:Java11.3k608734.4k

• eugeneyan/open-llms

  📋 A list of open LLMs available for commercial use.

  10.9k23136695

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10.1k101382.2k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.7k226161.9k

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook7.8k2812195.8k

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.2k142661k

• HumanSignal/awesome-data-labeling

  A curated list of awesome data labeling tools

  3.7k10222430

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.6k7421k

• twitter/opensource-website

  Twitter's open source website, identifying projects we've released, organizations we support, and the work we do to support open source.

  Language:SCSS3k41481803

• sukeesh/Jarvis

  Personal Assistant for Linux and macOS

  Language:Python3k1264771k

• oegedijk/explainerdashboard

  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

  Language:Python2.3k22235329

• Coder-Yu/QRec

  QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

  Language:Python1.6k69144406

• abhishekkrthakur/tez

  Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

  Language:Python1.2k1741145

• orcasgit/python-fitbit

  Fitbit API Python Client Implementation

  Language:Python6203787330

• khuyentran1401/reproducible-data-science

  Tutorials on creating a reproducible and maintainable data science project

  Language:Jupyter Notebook1365434

• chandan-u/graph-based-recommendation-system

  building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.

  Language:Python624027

• abhishekkrthakur/sandesh

  A simple app to send messages to Slack channels / members using webhook

  Language:Python56518

• abhishekkrthakur/csv_test

  265524

• udacity/nd029-c2-apache-spark-and-spark-streaming-starter

  This is the starter code for both the course and the project for Data Streaming with Spark

  Language:Python149138

• kanishkan91/FAO-FBS-Data-Explorer

  Language:HTML120023

• chaitanyakasaraneni/DisasterResponse

  Text categorization for Disaster Response using NLP model

  Language:Python2201