scikit-learn: machine learning in Python

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Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Make Llama2 use Code Execution, Debug, Save Code, Reuse it, Access to Internet

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Multi-level Wavelet Convolutional Neural Networks

Python package for causal inference using Bayesian structural time-series models.

Code accompanying the submission "Structural Text Segmentation of Legal Documents" by Aumiller et al.

PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089

py2dataset analyzes source code to generate structured datasets describing code content and behavior. It extracts information from Python files and converts it into JSON-formatted datasets. These d…

Run semantic queries over your twitter history

[ICDAR 2023] SelfDocSeg: A self-supervised vision-based approach towards Document Segmentation (Oral)

Learning optimal wavelet bases using a neural network approach in Pytorch

pytorch implementation for paper, towards realistic predictors

wavelet neural network and wavenet script

Peak Event Coincidence Analysis to correlate event series with peaks in time series

Utilized deep Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.

Predicting wildfire spread with deep learning

Event Coincidence Analysis