prateekmehta

prateekmehta's Stars

• ashishps1/awesome-low-level-design

  Learn Low Level Design (LLD) and prepare for interviews using free resources.

  Language:Java5.3k1.4k

• ashishps1/awesome-behavioral-interviews

  Tips and resources to prepare for Behavioral interviews.

  3.5k540

• ashishps1/awesome-leetcode-resources

  Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.

  3.9k1.1k

• charlax/professional-programming

  A collection of learning resources for curious software engineers

  Language:Python45.9k3.7k

• sdesilva26/docker-spark

  Tutorial for setting up a Spark cluster running inside of Docker containers located on different machines

  Language:Jupyter Notebook11757

• Zhuinden/spring-spark-example

  An example of setting up Spring-Boot with Spark.

  Language:Java8863

• rachitiitr/interview-prep

  Here is how to prepare for Data Structures / Algorithms for Coding Interviews. This is a comprehensive collection of problems across hot interview topics like Dynamic Programming, LinkedLists, Greedy, Arrays, Binary Trees, Trees, etc.

  Language:C++24072

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.1k12.9k

• budhiraja/Math-for-MachineLearning

  A repository containing essential math courses for machine learning aspirants!

  5317

• faif/python-patterns

  A collection of design patterns/idioms in Python

  Language:Python39.9k6.9k

• tmhedberg/SimpylFold

  No-BS Python code folding for Vim

  Language:Vim script64956

• pranab/sifarish

  Content based and collaborative filtering based recommendation and personalization engine implementation on Hadoop and Storm

  Language:Java334129

• jbardin/scp.py

  scp module for paramiko

  Language:Python529139

• ipython/ipython

  Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

  Language:Python16.2k4.4k

• snap-stanford/snap

  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

  Language:C++2.2k795

• jcjohnson/neural-style

  Torch implementation of neural style algorithm

  Language:Lua18.3k2.7k

• deeplearning4j/deeplearning4j

  Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

  Language:Java13.5k3.8k

• qcri/Arabesque

  Scalable Graph Mining

  Language:Java6133

• prateekmehta/Arabesque

  Scalable Graph Mining

  Language:Java1

• msr-ds3/coursework

  summer school coursework

  Language:Jupyter Notebook293261

• vtraag/louvain-igraph

  Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.

  Language:C++24146

• drupal-media/url_embed

  DEPRECATED: See https://drupal.org/project/url_embed for latest code and issues - Allows any URL to be embedded using a WYSIWYG and text format.

  Language:PHP59

• google/deepdream

  13.2k3.2k

• piskvorky/gensim

  Topic Modelling for Humans

  Language:Python15.4k4.4k