Pinned Repositories
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
antialiased-cnns
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
attention-mechanisms
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
interval_load_forecasting
24-hour ahead interval load data forecasting
machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
mirkwood
ParetoMTL
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
stellar_denoising
tsbootstrap
tsbootstrap: generate bootstrapped time series samples in Python
tsbootstrap-sktime-tutorial-scipy-2024
astrogilda's Repositories
astrogilda/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
astrogilda/antialiased-cnns
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
astrogilda/auto_ks
Repository for "Fitting a Kalman Smoother to Data"
astrogilda/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
astrogilda/baikal
A graph-based functional API for building complex scikit-learn pipelines.
astrogilda/candlestick_scraper
Scrape candlestick data from crypto exchanges and upload it to Kaggle.
astrogilda/DeepHermites
astrogilda/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
astrogilda/get_all_tickers
Get all publicly traded tickers with this library
astrogilda/keras_lr_finder
Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
astrogilda/Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
astrogilda/MissingDataVAEs
astrogilda/mlfinlab
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
astrogilda/mlinsights
Extends scikit-learn with new models, transformers, metrics, plotting.
astrogilda/MoEx
MoEx (Moment Exchange)
astrogilda/Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
astrogilda/Neuraxle
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
astrogilda/ngboost
Natural Gradient Boosting for Probabilistic Prediction
astrogilda/portion
portion, a Python library providing data structure and operations for intervals.
astrogilda/revisiting-self-supervised
astrogilda/rewinding-iclr20-public
astrogilda/scikit-feature
open-source feature selection repository in python
astrogilda/shparkley
Spark implementation of computing Shapley Values using monte-carlo approximation
astrogilda/smogn
Synthetic Minority Over-Sampling Technique for Regression
astrogilda/swae
Implementation of the Sliced Wasserstein Autoencoders
astrogilda/tabnet-modified
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
astrogilda/tabnet_fork
A fork of TabNet by Google Research
astrogilda/trade_stat_logger
Log trades of any type of security, and then get an analysis of your strategy!
astrogilda/uncertainty_estimation_deep_learning
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).
astrogilda/zeus
⚡️ zeus: Lightning Fast MCMC ⚡️