Swapnil Bhadade (augmen)

augmen

Geek Repo

Company:augmen

Location:India

Home Page:www.augmen.org.in

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Swapnil Bhadade's repositories

kwenta

A dApp enabling derivatives trading

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Algorithms-1

A collection of algorithms and data structures

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Algorithms-2

Algorithm and Data Structures

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awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

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awesome-sysadmin

A curated list of amazingly awesome open source sysadmin resources inspired by Awesome PHP.

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awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

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bazel

a fast, scalable, multi-language and extensible build system

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chatwoot

Open-source live chat software, an alternative to Intercom, Zendesk, Drift, Crisp etc. 🔥💬

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Curve

An Integrated Experimental Platform for time series data anomaly detection.

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data-structures

A collection of powerful data structures

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DeepFaceLab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

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doc.zk-evm

zk-EVM documentation

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ethereum-org-website

Ethereum.org is a primary online resource for the Ethereum community.

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evostrat

A library that makes Evolutionary Strategies (ES) simple to use.

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faceswap

Deepfakes Software For All

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finBERT

Financial Sentiment Analysis with BERT

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google-news-scraper

Google News Scraper for languages like Japanese, Korean... [VPN Support]

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google-news-scraper-1

Lightweight promise-based scraper for Google News

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Lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

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news-please

news-please - an integrated web crawler and information extractor for news that just works.

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nohang

A sophisticated low memory handler for Linux

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razorpay-android-sample-app

Sample app demonstrating integration of Razorpay checkout

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ta

Technical Analysis Library using Pandas and Numpy

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ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

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Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

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tribeca

A high frequency, market making cryptocurrency trading platform in node.js

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Upside-Down-Reinforcement-Learning

Implementation of Schmidhuber's Upside Down Reinforcement Learning paper

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