rehanganapathy

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

phidata

Build AI Assistants with memory, knowledge and tools.

meshery

Meshery, the cloud native manager

Catalogue

myDrive

Node.js and mongoDB Google Drive Clone

neosync

Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.

goodreads_etl_pipeline

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

Price-Tracking-Web-Scraper

An automated price tracker that uses bright data, playwright, react and flask.

gym-trading

Environment for reinforcement-learning algorithmic trading models

Trading-Gym

Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

pairstrade-fyp-2019

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

graphql-mongodb-server

A GraphQL MongoDB server.

PyVertical

Privacy Preserving Vertical Federated Learning

finsight

FinSight - Financial Insights at Your Fingertip: FinSight is a cutting-edge AI assistant tailored for portfolio managers, investors, and finance enthusiasts. It streamlines the process of gaining crucial insights and summaries about a company in a user-friendly manner.

DQN-Trading

A Deep Reinforcement Learning Framework for Stock Market Trading

local_multimodal_ai_chat

AlphaTrade

JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading

streaming_data_processing

Create a streaming data, transfer it to Kafka, modify it with PySpark, take it to ElasticSearch and MinIO

boilerplate-backend-node-graphql-mongodb

Boilerplate: Backend with Node + GraphQL + MongoDB

FDRL-PC-Dyspan

node-express-mongodb-reactjs-graphql

Node, Express, React.js, Graphql and MongoDB CRUD Web Application

Double-DQN-stock-trading-rule

Code for paper Stock trading rule discovery with double deep Q-network

FrozenLake_RL

A tabular reinforcement learning approach to a custom & classic gridworld setting

FrozenLake-v1

The FrozenLake Environment Project using OpenAI gym

DQN-FrozenLake

frozen_lake_rl

Implementation of reinforcement learning techniques on a grid world based problem

ifra

This algorithm generates an interpretable explaining ruleset based on a target Y and features X through a federated learning, where each node generates a ruleset from a single decision tree.

DeepQLearningAlgorithm_FrozenLake

In this repository I implement the Deep Q algorithm to solve the FrozenLake environment.

CMU-11785-Final-Project

This is the repository for the final project of 11785-Intro to Deep Learning, Team 5. The topic we are doing is Time-Series Model, simulating trading decisions in the stock market with DQN.

DQN-Trading-Model

Using DQN, Double DQN and Dueling Double DQN to build a stock automatic trading model