parandcor

parandcor's Stars

• anthonymorast/BollingerBot

  Results and implementation for the blog posts.

  Language:Python23

• anthonymorast/lstm-lstm

  LSTM-LSTM Hybrid Approach to Time Series Forecasting with Applications to Foreign Exchange Rate Data

  Language:Python4

• anthonymorast/cnn-ns

  Inferring the Reynolds number from solution data to paramaterize the Navier-Stokes equations.

  Language:C++4

• EmNudge/watlings

  Learn WebAssembly by writing small programs!

  Language:JavaScript1.6k41

• opentofu/opentofu

  OpenTofu lets you declaratively manage your cloud infrastructure.

  Language:Go22.5k857

• nicholasmireles/DotDict

  A simple Python library to make chained attributes possible.

  Language:Python2313

• reflex-dev/reflex

  🕸️ Web apps in pure Python 🐍

  Language:Python19.1k1.1k

• LongOnly/Quantitative-Notebooks

  Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

  Language:Jupyter Notebook986179

• rsvp/fecon235

  Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

  Language:Jupyter Notebook1.1k330

• gpt-engineer-org/gpt-engineer

  Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

  Language:Python52k6.8k

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook13.5k1.9k

• parandcor/LLAMARUST

  Run inference for Large Language Models on CPU, with Rust 🦀🚀🦙

  1

• google-research/scenic

  Scenic: A Jax Library for Computer Vision Research and Beyond

  Language:Python3.2k426

• jpmorganchase/python-training

  Python training for business analysts and traders

  Language:Jupyter Notebook5.8k1k

• TencentARC/GFPGAN

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  Language:Python35.5k5.9k

• ifzhang/ByteTrack

  [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

  Language:Python4.6k884

• PyMySQL/PyMySQL

  MySQL client library for Python

  Language:Python7.6k1.4k

• Rachnog/Deep-Portfolio-Management

  Source code for the blog post on the evolution of the asset allocation methods

  Language:Jupyter Notebook210105

• JuliaLang/julia

  The Julia Programming Language

  Language:Julia45.4k5.5k

• letianzj/QuantResearch

  Quantitative analysis, strategies and backtests

  Language:Jupyter Notebook1.9k408

• joelowj/PRML

  PRML algorithms implemented in Python

  41

• gabrielepompa88/pyBlackScholesAnalytics

  Options and Option Strategies analytics for educational purpose using the Black-Scholes Model

  Language:Jupyter Notebook10928

• woven-planet/l5kit

  L5Kit - https://woven.toyota

  Language:Python857278

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k2.2k

• parandcor/High-Frequency-Trading-Model-with-IB

  A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

  1

• parandcor/Financial-Models-Numerical-Methods

  Collection of notebooks about quantitative finance, with interactive python code.

  1

• parandcor/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  11

• vikjam/mostly-harmless-replication

  Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

  Language:Stata582314

• cantaro86/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook3615

• Machine-Learning-Tokyo/AI_Curriculum

  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

  2.5k398