Rehan Ganapathy (rehanganapathy)

rehanganapathy

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Company:PES University

Location:Bangalore, India

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Rehan Ganapathy's starred repositories

trials

Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.

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rl-trader

This MLOps project productionizes a Deep Reinforcement Learning agent with a scalable, distributed data streaming infrastructure using Kafka and Ray. A thorough walkthrough of the code is described in this article on medium: https://ryanraymartin.medium.com/deep-reinforcement-learning-for-stock-trading-with-kafka-and-rllib-d738b9634675

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streamify

A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

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fedPlay

Simple framework for simulating Federated Learning using nodes in Docker Containers

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Federated-Learning-in-PyTorch

Handy PyTorch implementation of Federated Learning (for your painless research)

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pycoin

Custom gym + tensorflow environment for performing federated learning on cyrptocurrency market data using the algorithms in TensorForce!

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Startup-CTO-Handbook

The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

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machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

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Reinforcement_learning_for_trading_v1.0

A lean and simple implementation of Reinforcement Learning for trading stocks.

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awesome-federated-reinforcement-learning

Publication catalog for research on Federated RL (FRL).

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FCRL

Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)

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reinforcedFL

Federated Reinforcement Learning project

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Byzantine-Federated-RL

code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience

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Flowise

Drag & drop UI to build your customized LLM flow

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Deep-Portfolio-Management-Reinforcement-Learning

This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.

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finance-courses

Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)

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ivy

Convert Machine Learning Code Between Frameworks

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audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

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qlora

QLoRA: Efficient Finetuning of Quantized LLMs

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WEBSCRAPING-NSE-WEBISTE-WITH-PYTHON

Web Scraping the NSE Website and presenting them on charts using PowerBI

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web-scraping-using-selenium-and-puppeteer

Scraping the data from NSE Secmaster and Yahoo Finance

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Finance

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

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Image-Captioning

Image-to-Text

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google-sheets-csv-updater

Simple script that copies local csvs to google sheets

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csvToGoogleSheets

A tool for uploading csv to google sheets.

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Molecular-graph-BERT

semi-supervised learning for molecular property prediction

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grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

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InfoGraph

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

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molecularGNN_smiles

The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.

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aws-textract-json-parser

This library parses the json response from AWS Textract into a more usable format.

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