Discover @ashish-ratn Open Source projects

Ashish Ratnawat (@ashish-ratn)

ashish-ratn

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Global Rank 270,932 (Top 10 %)
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Registered almost 8 years ago
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Python
75.0 %

C++
25.0 %
Location 🇮🇳 India
Country Total Rank 8,526
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C++
566

Python
7,159

Awesome-Algorithms-Data-Structures

Includes C Programming Code For Awesome algorithms and data structures

self_driving_cars

opencv for face detection, segmentation, recognition, lane findings,

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!

Lstm_Time_series

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

DEEP

Deep Convolutional Neural Networks with LSTMs and Gated Recurrent Units