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Gautam Pramanik's Projects

airport-codes icon airport-codes

List of Airport codes, locations and other information around the world

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

autonlp icon autonlp

🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically

autoreject icon autoreject

Automated rejection and repair of bad trials/sensors in M/EEG

awesome-bots icon awesome-bots

:robot: A curated awesome list of resources from the bots/AI world by BotCube team. Join our newsletter to get five epic actionable bot tricks delivered to your inbox once a week! 🤖 ❤️

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

beets icon beets

music library manager and MusicBrainz tagger

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms

mne-python icon mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

music-scraper icon music-scraper

Gets Songs from the web and allows users to download the same.

opentraveldata icon opentraveldata

Collection of open data related to (at least) travel, transport, tourism

optd icon optd

Deprecated Git repository. Please move to

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

public-apis icon public-apis

A collective list of free APIs for use in software and web development.

rambox icon rambox

Free and Open Source messaging and emailing app that combines common web applications into one.

sherlock icon sherlock

🔎 Hunt down social media accounts by username across social networks

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

yowo icon yowo

You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization

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