palexbg

palexbg

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palexbg's repositories

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birdcall

Cornell Birdcall Identification (a Kaggle competition) starter pack

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course-v3

The 3rd edition of course.fast.ai

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course22

The fast.ai course notebooks

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darima

Distributed ARIMA Models

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fastai

The fastai deep learning library, plus lessons and tutorials

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ffn

ffn - a financial function library for Python

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forecasting-with-time-series-imaging

time series forecasting with image

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geometry_reconciliation

Talk on the geometry of forecast reconciliation

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gratis

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

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iml

iml: interpretable machine learning R package

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learning-tsp

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

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LLM4TS

Large Language Models for Time Series.

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LLMSurvey

A collection of papers and resources related to Large Language Models.

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mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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mlr3

mlr3: Machine Learning in R - next generation

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mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

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network-science

Practical assignments for the network science course at HSE, MIPT, MADE

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ngboost

Natural Gradient Boosting for Probabilistic Prediction

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portfolio_allocation_js

A JavaScript library to allocate and optimize financial portfolios.

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portfoliolab

PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.

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ProbReco

Package for probabilistic forecast reconciliation via score optimisation

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pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

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pyperch

Randomized opt networks with PyTorch

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quantile_ensembles

Book chapter on computing quantile forecasts for ensembles

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sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

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transdim

Machine learning for transportation data imputation and prediction.

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yolov3-yolov4-matlab

Import and export Darknetā„¢ models within MATLAB deep learning networks.

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