hiter-joe

hiter-joe's Stars

• MLSysOps/MLE-agent

  🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Ollama, etc supported. :fireworks: Code RAG

  Language:Python1.1k45

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook38.8k4.1k

• Bohr1005/xcrypto

  quant,trading system,crypto,async

  Language:Rust32589

• Matteo-Ferrara/gex-tracker

  Dealers' gamma exposure (GEX) tracker

  Language:Python10338

• Matteo-Ferrara/backtester

  Rudimentary backtesting framework for futures markets.

  Language:Python21

• xai-org/grok-1

  Grok open release

  Language:Python49.5k8.3k

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python55k4.8k

• MODFLOW-USGS/modflow6

  USGS Modular Hydrologic Model

  Language:Fortran254117

• EC-USGS/pywatershed

  A hydrologic model in Python

  Language:Fortran3512

• chris-chris/ml-engineer-roadmap

  WIP: Roadmap to becoming a machine learning engineer in 2020

  2.1k255

• kevin989/VIXFuturesTermStructure

  This Jupyter Notebook calculates the current VIX Term Structure.

  Language:Jupyter Notebook1

• linhnguyen215538/Volatility-Study

  • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot and options prices data from CBOE and Yahoo Finance • Utilized NumPy, Pandas, and SciPy packages to calculate implied volatility, realized volatility, and risk premiums to measure how the market prices risk • Gathered and plotted daily VIX futures data with Selenium, Seaborn and Matplotlib to study volatility term structure • Examined volatility clustering and built forecasting tools for market risk using correlations of daily absolute returns and volatility at different time lags

  Language:Jupyter Notebook4416

• JerBouma/FinanceDatabase

  This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

  Language:Jupyter Notebook3.6k399

• dmricciuto/OLMT

  Language:Python827

• COMPASS-DOE/data-workflows

  Sensor data workflows and processing scripts

  Language:R4

• lanl/dfnWorks

  dfnWorks is a parallelized computational suite to generate three-dimensional discrete fracture networks (DFN) and simulate flow and transport. If you download the software please fill out our interest form to stay up to date on releases https://goo.gl/forms/VE39oKsyp4LVC6Gj2 and join our google group https://groups.google.com/d/forum/dfnworks-users . Precompiled Docker Container https://hub.docker.com/r/ees16/dfnworks

  Language:Python7545

• SimplifyJobs/New-Grad-Positions

  A collection of full time roles in SWE, Quant, and PM for new grads.

  11.6k1.1k

• ESCOMP/CTSM

  Community Terrestrial Systems Model (includes the Community Land Model of CESM)

  Language:Fortran308312

• hiter-joe/visit

  VisIt - Visualization and Data Analysis for Mesh-based Scientific Data

  1

• markummitchell/engauge-digitizer

  Extracts data points from images of graphs

  Language:C++1.2k213

• Azure/opendigitaltwins-dtdl

  Digital Twins Definition Language

  478162

• argonne-lcf/TensorFlowFoam

  Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development

  Language:C++20172

• UnnamedMoose/BasicOpenFOAMProgrammingTutorials

  Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.

  Language:C++836370

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.4k887

• jpetucci/Roar_HPC_training

  Language:C32

• tum-pbs/dl-surrogates

  Language:C++317

• amanzi/ats

  Advanced Terrestrial Simulator (ATS) development

  Language:C++4735

• hiter-joe/Optimally-Weighted-PINNs

  1

• zsylvester/pybedfroms

  python port of the USGS (Rubin & Carter) bedforms software tool

  Language:MATLAB32

• GeostatsGuy/DataAnalytics_Geostatistics

  2 Day short course on spatial stat analytics, geostatistics and machine learning.

  Language:Jupyter Notebook125