gennaro-dibrino's starred repositories

Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

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deepar

Tensorflow implementation of Amazon DeepAR

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optuna

A hyperparameter optimization framework

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spotlight

Deep recommender models using PyTorch.

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pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

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hctsa

Highly comparative time-series analysis

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FinRL

FinRL: Financial Reinforcement Learning. 🔥

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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neural-tangents

Fast and Easy Infinite Neural Networks in Python

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shapash

đź”… Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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Reinforcement-Learning-in-Finance

Materials for blogs and conferences

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map2map

A neural network emulator to transform field data

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BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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pyLDAvis

Python library for interactive topic model visualization. Port of the R LDAvis package.

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long-range-arena

Long Range Arena for Benchmarking Efficient Transformers

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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RISE

RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension

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great_expectations

Always know what to expect from your data.

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plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

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Practical_RL

A course in reinforcement learning in the wild

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julia

The Julia Programming Language

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transformers-low-code-experiments

Low-code pre-built pipelines for experiments with huggingface/transformers for Data Scientists in a rush.

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nodevectors

Fastest network node embeddings in the west

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

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Boruta-Shap

A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.

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AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

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hmm_market_behavior

Unsupervised Learning to Market Behavior Forecasting Example

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