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Ashish Ratnawat's Projects

aistartups icon aistartups

Startups about artificial intelligence. (DM, ML, NLP, CV...)

algo_ds icon algo_ds

Repository for cool algorithms and Datastructures

algorithm icon algorithm

C++ Implementation of Algorithms (aka. Spaghetti Source)

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-reddit-chatbot icon awesome-reddit-chatbot

In order to create a chatbot, or really do any machine learning task, of course, the first job you have is to acquire training data, then you need to structure and prepare it to be formatted in a "input" and "output" manner that a machine learning algorithm can digest. Arguably, this is where all the real work is when doing just about any machine learning. The building of a model and training/testing steps are the easy parts!

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep icon deep

Deep Convolutional Neural Networks with LSTMs and Gated Recurrent Units

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

foml icon foml

Foundations of Machine Learning

freecodecamp icon freecodecamp

The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.

hello-world icon hello-world

Add any Program in any language you like or add a hello world Program ❣️ if you like give us :star:

lstm_time_series icon lstm_time_series

This is a lstm model for time series data and predicting time series values like stock prices and others.

magenta icon magenta

Magenta: Music and Art Generation with Machine Intelligence

mnist-data icon mnist-data

playing around with mnist data set with deeo neural networks

projectml icon projectml

Includes Linear regression, K-nearest neighbors, SVM with Scikit learn.

rocalphago icon rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

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