Discover @Chinmayrane16 Open Source projects

Chinmay Rane (@Chinmayrane16)

Chinmayrane16

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Global Rank 86,263 (Top 3 %)
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Following 202
Registered about 7 years ago
Most used languages

Jupyter Notebook
50.0 %

Java
25.0 %

Python
15.0 %

C#
10.0 %
Location 🇮🇳 India
Country Total Rank 2,302
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Jupyter Notebook
176

C#
274

Java
1,911

Python
4,570

Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

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Depression-Chatbot

Feeling Depressed? Feeling Suicidal? Want to give up? Try Depression-Chatbot!

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ReconNet-PyTorch

A non-iterative algorithm to reconstruct images from compressively sensed measurements.

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DeepRecommender

Training Deep AutoEncoders for Collaborative Filtering

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Diamonds-In-Depth-Analysis

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

Jupyter Notebook

MNIST-Digit-Recognizer-CNN-Keras-99.66

Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels on 28000 Test Images with an Validation Accuracy of 99.52% and 99.66% on Kaggle Leaderboard.

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Scraping-Amazon-for-Mobile-details-with-Scrapy

Scraping Amazon website using Proxies for extracting Mobile details

Titanic-Survival-In-Depth-Analysis

Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

Jupyter Notebook

Windows-Interface-for-Interacting-with-Neo-SmartPen-NWP-F110

Developed Desktop Interface for Interacting with the IOT device (Neo SmartPen) FWP-F110. You can write any content on NCode Notebooks and receive the strokes on the Desktop screen in real time via Bluetooth. If you are not connected to the Bluetooth the pen saves the written information in its memory and you can view the memory content of the pen anytime. You can even save the images on your Desktop.

Fashion-MNIST-Accuracy-93.4-

Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. I trained Convolutional Neural Networks over the training data and achieved Validation Accuracy of 93% and Test Accuracy 93.4%

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Calculator

A Simple Calculator with basic Arithmatic operations and other utilities

Send-Files-Bluetooth-Desktop

Send files from Desktop to Mobile Application or Another Desktop .

Pokemon-Visualization

Used Seaborn , Matplotlib ,Numpy , Pandas to Analyze and Visualize Different Types of Pokemons and their Relations with various Attributes with the help of Bar plots, Pie Charts, Violin Plots, Joint Plots, HeatMap , Box Plots, Swarm Plots etc.

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Automating-Web-Browser-Interaction-using-Selenium

This is an implementation of Selenium, a python library for Web Automation. I have tried to download an excel file from the National Horticulture Board Website.

Tic-Tac-Toe

Tic-Tac-Toe game for multiplayers . Developed Within 2 hours for a Hackathon Organised by IOSD

Newsiness

Covers Most Popular News Channels and their Everyday News Updates

ChatComm

Mobile-Chatting Application , You can send and accept incoming requests , Helps in growing your network through communication with users.

News

News Application to view Daily Affairs

Emotion-Recognition

Jupyter Notebook

Graph-Convolutional-Networks