Akash (Sathya) Kothapalli's starred repositories
bootstrap-ie8
Bootstrap 4 for IE8 and IE9
python-libffm
A Python wrapper for the libffm library.
machinelearningbootcamp
boilerplate code, scripts, modules, data for CCA 2-day Machine Learning Bootcamp
ml-glossary
Machine learning glossary
randomForest
:exclamation: This is a read-only mirror of the CRAN R package repository. randomForest — Breiman and Cutlers Random Forests for Classification and Regression. Homepage: https://www.stat.berkeley.edu/~breiman/RandomForests/
awesome-courses
:books: List of awesome university courses for learning Computer Science!
DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
awesome-json-datasets
A curated list of awesome JSON datasets that don't require authentication.
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Machine-Learning-University-of-Washington
Assignments for University of Washington Machine Learning Specialization through Coursera
the-gan-zoo
A list of all named GANs!
angular-toArrayFilter
A filter to convert your objects to an array that can be filtered and sorted easily
AVdatafest-The-Quicksolver
Analytics Vidhya, The Quicksolver Hackathon
CX-MachineLearning
CX MachineLearning is an open sourced project built on top of Python 3.6 and MongoDB 3.2. The aim is to design and construct a fully optimised and elaborate library to track online consumer/user behavior, habits and make predictive analysis & projects.
ReadyResponder
Local Incident Management System - This is used for tracking resources for Local Emergency Management
coursera-university-of-washington
University of Washington
machinelearning-books
Collection of great (and free) machine learning books
ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"