prateekmehta's Stars
charlax/professional-programming
A collection of learning resources for curious software engineers
faif/python-patterns
A collection of design patterns/idioms in Python
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
jcjohnson/neural-style
Torch implementation of neural style algorithm
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
piskvorky/gensim
Topic Modelling for Humans
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 learn...
google/deepdream
ashishps1/awesome-low-level-design
Learn Low Level Design (LLD) and prepare for interviews using free resources.
ashishps1/awesome-leetcode-resources
Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
ashishps1/awesome-behavioral-interviews
Tips and resources to prepare for Behavioral interviews.
snap-stanford/snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
tmhedberg/SimpylFold
No-BS Python code folding for Vim
jbardin/scp.py
scp module for paramiko
pranab/sifarish
Content based and collaborative filtering based recommendation and personalization engine implementation on Hadoop and Storm
msr-ds3/coursework
summer school coursework
vtraag/louvain-igraph
Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.
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.
sdesilva26/docker-spark
Tutorial for setting up a Spark cluster running inside of Docker containers located on different machines
Zhuinden/spring-spark-example
An example of setting up Spring-Boot with Spark.
qcri/Arabesque
Scalable Graph Mining
budhiraja/Math-for-MachineLearning
A repository containing essential math courses for machine learning aspirants!
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.
prateekmehta/Arabesque
Scalable Graph Mining