ana2s007's Stars
mcagriaktas/End-to-End-Data-Lake-Project
decodingml/llm-twin-course
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Roche/pyreadstat
Python package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.
DataExpert-io/data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
salmah52/youtubeetl
dsdanielpark/Bard-API
The unofficial python package that returns response of Google Bard through cookie value.
rzashakeri/beautify-github-profile
This repository will assist you in creating a more beautiful and appealing github profile, and you will have access to a comprehensive range of tools and tutorials for beautifying your github profile. 🪄 ⭐
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
graph4ai/graph4nlp_demo
This repo is to present various code demos on how to use our Graph4NLP library.
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
coqui-ai/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
poloclub/dodrio
Exploring attention weights in transformer-based models with linguistic knowledge.
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
dagster-io/dagster
An orchestration platform for the development, production, and observation of data assets.
benedekrozemberczki/awesome-community-detection
A curated list of community detection research papers with implementations.
AndrewLyasoff/SMAP
Julia and Python programs that implement some of the tools described in my book "Stochastic Methods in Asset Pricing" (SMAP), MIT Press 2017 (e.g., the method for computing the price of American call options and the construction of the early exercise premium in the Black-Scholes-Merton framework from section 18.4 in SMAP).
OpenMined/PySyft
Perform data science on data that remains in someone else's server
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
cvxpy/cvxpy
A Python-embedded modeling language for convex optimization problems.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
Kyubyong/deepvoice3
Tensorflow Implementation of Deep Voice 3
andabi/deep-voice-conversion
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
Finance-Hub/FinanceHub
Resources for Quantitative Finance
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
je-suis-tm/quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
google/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
ana2s007/finmarketpy
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
ana2s007/findatapy
Python library to download market data via Bloomberg, Quandl, Yahoo etc.