andrefagundes10's repositories
municipios-brasileiros
:house_with_garden: Dados relacionados aos municípios brasileiros
llm4regression
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
sktime
A unified framework for machine learning with time series
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
hftbacktest
A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
FinRL-Meta
FinRL-Meta: Dynamic datasets and market environments for FinRL.
machine_learning_examples
A collection of machine learning examples and tutorials.
FinRL-Trading
For trading. Please star.
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
scikit-learn
scikit-learn: machine learning in Python
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Project-1-Closing-Price-Stock-Regressor-Version-1.0
Predicting a stock's daily closing price using automated multiple linear regression.
How-to-Guess-Accurately-3-Lottery-Numbers-Out-of-6-using-LSTM
How to Guess Accurately 3 Lottery Numbers Out of 6
rlfinance
The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance
StockForecast
Using machine learning to predict/forecast the future trend of stock prices.
RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
MetaTraderForecast
RNN based Forecasting App for Meta Trader and similar trading platforms
five-minute-midas
Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
social-app-prototype
💻 an app made with react native to prototype a social app
siml
Machine Learning algorithms implemented from scratch