masabedi

masabedi's Stars

• yt-dlp/yt-dlp

  A feature-rich command-line audio/video downloader

  Language:Python82.8k4987.7k6.5k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  28.4k2.1k01.5k

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook10.3k1091993k

• mrdbourke/tensorflow-deep-learning

  All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

  Language:Jupyter Notebook5.2k161942.5k

• r0x0r/pywebview

  Build GUI for your Python program with JavaScript, HTML, and CSS

  Language:Python4.6k641k540

• Uniswap/v3-core

  🦄 🦄 🦄 Core smart contracts of Uniswap v3

  Language:TypeScript4.4k1432932.7k

• ranaroussi/qtpylib

  QTPyLib, Pythonic Algorithmic Trading

  Language:Python2.1k140153510

• Synthetixio/synthetix

  Synthetix Solidity smart contracts

  Language:JavaScript1.2k52130594

• HamedAp/Ssh-User-management

  Shahan Vpn Panel With Add/Delete Users - Online Users - Limit Users

  Language:PHP998140121

• divanov11/StudyBud

  Language:HTML8492425766

• makerdao/dss

  Dai Stablecoin System

  Language:Solidity7354934407

• kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

  Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

  Language:Python6272925208

• bitfumes/fastapi-course

  Language:Python27466154

• kantancoding/microservices-python

  Language:Python256827157

• mjuchli/ctc-executioner

  Master Thesis: Limit order placement with Reinforcement Learning

  Language:Jupyter Notebook176222483

• iexbase/tron-api-python

  A Python API for interacting with Tron (TRX)

  Language:Python166137884

• jenniyanjie/successful-algorithmic-trading

  the book with script

  Language:Python734065

• IlluvatarEru/ElectronicMarkets

  Language:Jupyter Notebook381026

• Ryan-Gordon/Financial-Portfolio-Flask

  A flask webapp used for tracking of Cryptocurrency and Stock investments. PEP8 Compliant.

  Language:Python326120

• Synthetixio/simulation

  Agent-based model of the proposed stablecoin.

  Language:Python24123618

• gr8linux/tehran-stocks

  A python package to access tccim data

  Language:Jupyter Notebook8202

• hollaex/hollaex-node-lib

  HollaEx crypto exchange nodejs library

  Language:JavaScript84115

• nerevu/prometheus-api

  RESTful API for prometheus (stock portfolio allocation & analysis)

  Language:Python83295

• repollo/stock-prediction

  Stock prediction web app using flask, pandas, scikit-learn and am charts

  Language:HTML8225

• jangwoopark/synthetic-chriss-almgren

  Language:Python5102

• vedangj044/News_stock_prediction

  Intelligent Stock predictor flask API

  Language:Python56

• winterfive/stock-trader

  A stock trading app using Python 3, SQLite, Flask, Jinja, HTML, and CSS.

  Language:Python5303

• ucsb-cs48-w19/4pm-stock-trading

  Stock Trading App, Webapp, Python and Flask

  Language:HTML35226

• masabedi/persian-stt

  A Text-To-Speech Model Developed Using 🐸STT

  Language:Jupyter Notebook1000

• masabedi/Wav2Vec2-XLSR-Finetune

  ready to use notebook to finetune wav2vec2 on persian

  Language:Jupyter Notebook1000