Contains a bunch of different python programm tasks

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Deep Learningpy_tasks
Overview

py_tasks

Contains a bunch of different python programm tasks

  1. Armstrong.py - calculate Armsrong numbers in range from 0 to n with / without cache and compare calculation time.

$ armstrong.py 100 - usage example, where 100 is an upper bound (default 1000)

Owner
Dmitry Chmerenko
Dmitry Chmerenko
The codes and related files to reproduce the results for Image Similarity Challenge Track 1.

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A Python package for time series augmentation

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PyTorch implementation of Deformable Convolution

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The code for our paper submitted to RAL/IROS 2022: OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for LiDAR-Based Place Recognition.

OverlapTransformer The code for our paper submitted to RAL/IROS 2022: OverlapTransformer: An Efficient and Rotation-Invariant Transformer Network for

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Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Official PyTorch implementation for paper Context Matters: Gra

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Establishing Strong Baselines for TripClick Health Retrieval; ECIR 2022

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Unofficial PyTorch Implementation of Multi-Singer

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A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

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The official codes of our CVPR2022 paper: A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift

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Lenia - Mathematical Life Forms

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IGCN : Image-to-graph convolutional network

IGCN : Image-to-graph convolutional network IGCN is a learning framework for 2D/3D deformable model registration and alignment, and shape reconstructi

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The source code of the paper "SHGNN: Structure-Aware Heterogeneous Graph Neural Network"

SHGNN: Structure-Aware Heterogeneous Graph Neural Network The source code and dataset of the paper: SHGNN: Structure-Aware Heterogeneous Graph Neural

Wentao Xu 7 Nov 13, 2022
Reproducing-BowNet: Learning Representations by Predicting Bags of Visual Words

Reproducing-BowNet Our reproducibility effort based on the 2020 ML Reproducibility Challenge. We are reproducing the results of this CVPR 2020 paper:

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Very deep VAEs in JAX/Flax

Very Deep VAEs in JAX/Flax Implementation of the experiments in the paper Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on I

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A solution to the 2D Ising model of ferromagnetism, implemented using the Metropolis algorithm

Solving the Ising model on a 2D lattice using the Metropolis Algorithm Introduction The Ising model is a simplified model of ferromagnetism, the pheno

Rohit Prabhu 5 Nov 13, 2022
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

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[NeurIPS2021] Code Release of Learning Transferable Perturbations

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Tensor-Based Quantum Machine Learning

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Official code implementation for "Personalized Federated Learning using Hypernetworks"

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Python TFLite scripts for detecting objects of any class in an image without knowing their label.

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Ibai Gorordo 42 Oct 07, 2022