Akash (Sathya) Kothapalli (aka7h)

aka7h

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bootstrap-ie8

Bootstrap 4 for IE8 and IE9

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python-libffm

A Python wrapper for the libffm library.

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tutorials

This repository contains materials for demos, tutorials, and talks by Dato Inc.

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machinelearningbootcamp

boilerplate code, scripts, modules, data for CCA 2-day Machine Learning Bootcamp

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ml-glossary

Machine learning glossary

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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/

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awesome-courses

:books: List of awesome university courses for learning Computer Science!

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DeepLearningProject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

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requests

A simple, yet elegant, HTTP library.

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lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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doctorai

Repository for Doctor AI project

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magpie

Deep neural network framework for multi-label text classification

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awesome-json-datasets

A curated list of awesome JSON datasets that don't require authentication.

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rtsne

An R package for t-SNE (t-Distributed Stochastic Neighbor Embedding)

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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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CorEx

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

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Machine-Learning-University-of-Washington

Assignments for University of Washington Machine Learning Specialization through Coursera

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crab

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

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the-gan-zoo

A list of all named GANs!

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angular-toArrayFilter

A filter to convert your objects to an array that can be filtered and sorted easily

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AVdatafest-The-Quicksolver

Analytics Vidhya, The Quicksolver Hackathon

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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.

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ReadyResponder

Local Incident Management System - This is used for tracking resources for Local Emergency Management

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bot

Feeling lonely? You personal bot is here.

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coursera-university-of-washington

University of Washington

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machinelearning-books

Collection of great (and free) machine learning books

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ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

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