Aditya Soni (AdityaSoni19031997)

AdityaSoni19031997

Geek Repo

Company:Intuit

Location:Bangalore, India

Home Page:https://www.kaggle.com/adityaecdrid

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Aditya Soni's repositories

mlcourse_open

OpenDataScience Machine Learning course. Both in English and Russian

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xgb_gpu_dll

xgb gpu support binaries for Winx64

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keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

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Amazon-Forest-Computer-Vision

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

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kaggledays-recruit

Complete solution for the Recruit Restaurant Visitor Forecasting Competition

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MckinskeyHealthcareHackathon-Analytics_Vidhya

Solution to the Mckinskey Healthcare Hackathon 2018 organized by Analytics Vidhya

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McKinsey-SmartCities-Traffic-Prediction

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

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statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

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CNN-from-Scratch

A scratch implementation of Convolutional Neural Network without using any Deep Learning library and validated over CIFAR-10 & MNIST Dataset

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learning-deep

All my deep learning notes

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ML-Starter-Pack

A collection of Machine Learning algorithms written from sctrach.

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Algorithms

Implementation of various data structures and important problem solving algorithms

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Machine-Learning-Curriculum

Complete path for Machine Learning Scientist

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awesome-deep-learning-papers

The most cited deep learning papers

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coding-interview-university

A complete computer science study plan to become a software engineer.

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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coursera-test

Coursera test repository

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Coursera-Andrew-NG-Class

My Solutions To the Coursera Assignments

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CLRS

:notebook:Solutions to Introduction to Algorithms

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