0x000Saji's starred repositories

fullstack-travel-scape-app

Fullstack travel scape application built with Nextjs14 server actions, stripe, mongoDB, shadcn, tailwind.

Language:TypeScriptStargazers:24Issues:0Issues:0

stock-analysis

Simple to use interfaces for basic technical analysis of stocks.

Language:PythonLicense:MITStargazers:312Issues:0Issues:0

warren

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:275Issues:0Issues:0

ferdowsi-latex-template

A nix-based latex template for ferdowsi university assignments

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open-interpreter

A natural language interface for computers

Language:PythonLicense:AGPL-3.0Stargazers:51278Issues:0Issues:0

stock-pattern

A python scanner to detect and plot common chart patterns

Language:PythonLicense:GPL-3.0Stargazers:108Issues:0Issues:0

AutoTrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Language:PythonLicense:GPL-3.0Stargazers:914Issues:0Issues:0

ML_Assignment

Develop a vector database API that utilizes search through a large number of PDF documents.

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developer-portfolio

Software Developer Portfolio Website built with next.js and tailwind CSS that helps you showcase your work and skills as a software developer.

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Momentum-Trading-Example

An example algorithm for a momentum-based day trading strategy.

Language:PythonStargazers:638Issues:0Issues:0

hoppscotch

Open source API development ecosystem - https://hoppscotch.io (open-source alternative to Postman, Insomnia)

Language:TypeScriptLicense:MITStargazers:62825Issues:0Issues:0

football_analytics

📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

Language:Jupyter NotebookStargazers:1855Issues:0Issues:0

full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

Language:TypeScriptLicense:MITStargazers:25091Issues:0Issues:0

LM

Lifeweb AI team Language Models

Stargazers:15Issues:0Issues:0

onchainkit

React components and TypeScript utilities to help you build top-tier onchain apps.

Language:TypeScriptLicense:MITStargazers:452Issues:0Issues:0

expo

An open-source framework for making universal native apps with React. Expo runs on Android, iOS, and the web.

Language:TypeScriptLicense:MITStargazers:31657Issues:0Issues:0

flowbite

Open-source UI component library and front-end development framework based on Tailwind CSS

Language:HTMLLicense:MITStargazers:7439Issues:0Issues:0

ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

Stargazers:9598Issues:0Issues:0

screenshot-to-code

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

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outline

The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.

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awesome-webdesign-tools

🎊 A list of website and CSS tools

License:MITStargazers:96Issues:0Issues:0

quanttrader

Backtest and live trading in Python

Language:HTMLLicense:Apache-2.0Stargazers:485Issues:0Issues:0

cms_admin_panel

this is a simple cms project.You have to login first and then Operations that you can do : see all users , articles , course and add new users or remove user , course , article.Please check my code and criticize it.i hope you enjoy this project🤍

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DadmaTools

DadmaTools is a Persian NLP tools developed by Dadmatech Co.

Language:PythonLicense:Apache-2.0Stargazers:168Issues:0Issues:0

FinRL

FinRL: Financial Reinforcement Learning. 🔥

Language:Jupyter NotebookLicense:MITStargazers:9496Issues:0Issues:0

fastquant

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Language:Jupyter NotebookLicense:MITStargazers:1500Issues:0Issues:0

vanna

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

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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.

Stargazers:4031Issues:0Issues:0

StableCascade

Official Code for Stable Cascade

Language:Jupyter NotebookLicense:MITStargazers:6476Issues:0Issues:0