flaatah

flaatah's Stars

• Stirling-Tools/Stirling-PDF

  #1 Locally hosted web application that allows you to perform various operations on PDF files

  Language:Java48.9k1621k4k

• astral-sh/uv

  An extremely fast Python package and project manager, written in Rust.

  Language:Rust35.8k754.7k970

• Avaiga/taipy

  Turns Data and AI algorithms into production-ready web applications in no time.

  Language:Python17.6k819151.9k

• mementum/backtrader

  Python Backtesting library for trading strategies

  Language:Python15.5k62404.1k

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.7k396161.9k

• llmware-ai/llmware

  Unified framework for building enterprise RAG pipelines with small, specialized models

  Language:Python8.4k461591.5k

• quantopian/pyfolio

  Portfolio and risk analytics in Python

  Language:Jupyter Notebook5.8k3054181.8k

• paperswithbacktest/awesome-systematic-trading

  A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

  Language:Python4.5k1233700

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python4.1k41348293

• georgezouq/awesome-ai-in-finance

  🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

  3.7k1253438

• Rdatatable/data.table

  R's data.table package extends data.frame:

  Language:R3.6k1754.5k990

• salesforce/Merlion

  Merlion: A Machine Learning Framework for Time Series Intelligence

  Language:Python3.5k6090308

• shashankvemuri/Finance

  150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

  Language:Python2.3k731392

• blankly-finance/blankly

  🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

  Language:Python2.2k45120278

• https-deeplearning-ai/machine-learning-engineering-for-production-public

  Public repo for DeepLearning.AI MLEP Specialization

  Language:Jupyter Notebook1.9k30552.4k

• time-series-foundation-models/lag-llama

  Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

  Language:Python1.3k33107160

• ehmatthes/pcc_3e

  Online resources for Python Crash Course, 3rd edition, from No Starch Press.

  Language:Python1.3k5210513

• telmo-correa/all-of-statistics

  Self-study on Larry Wasserman's "All of Statistics"

  Language:Jupyter Notebook1k1827283

• GestaltCogTeam/BasicTS

  A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

  Language:Python81610128123

• business-science/pytimetk

  Time series easier, faster, more fun. Pytimetk.

  Language:Python7561915963

• rlvaugh/Impractical_Python_Projects

  Code & supporting files for chapters in book

  Language:Python4172610272

• rstudio-education/hopr

  This is the development site for Hands-On Programming with R, a book that teaches how to program in R, with hands-on examples. Read the book at https://rstudio-education.github.io/hopr.

  Language:CSS2551133338

• PacktPublishing/Python-Machine-Learning-By-Example-Third-Edition

  Python Machine Learning By Example Third Edition, published by Packt

  Language:Python173115102

• Nixtla/fpp3-python

  Forecasting: principles and practice in python

  Language:Jupyter Notebook985022

• amruthaa08/Generative_AI_LLMs

  Generative AI with Large Language Models on Coursera offered by Deeplearning.AI and AWS.

  Language:Jupyter Notebook431047

• ysraell/forecasting

  Forecasting: Principles and Practice

  Language:Jupyter Notebook303010

• vgangaprasad/Learning_Python_5thE

  Learning Python 5th edition Code (Mark Lutz)

  Language:Python261023

• alexd106/Rbook

  Bookdown version of the Introduction to R book

  Language:CSS237148

• alexd106/intro2R

  A practical introduction to R course

  Language:HTML12306

• PeterSchuld/Econometrics_Methods_and_Applications

  Erasmus University Rotterdam course »Econometrics: Methods and Applications« by Prof. Philip Hans Franses and others (completed Jan. 2023)

  Language:R6101