This is an open source python repository for various python tests

Overview

Welcome to Py-tests

This is an open source python repository for various python tests. This is in response to the hacktoberfest2021 challenge. It is a beginner friendly repository and you can upload your various fun scripts written in python. Have fun 👍 😉

You should also write your name in the contributors.md file if you have made changes to this repo

Owner
Yada Martins Tisan
Yada Martins Tisan
Very Deep Convolutional Networks for Large-Scale Image Recognition

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PyTorch implementation code for the paper MixCo: Mix-up Contrastive Learning for Visual Representation

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Implementation of "Deep Implicit Templates for 3D Shape Representation"

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An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astronomy data.

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113 Nov 28, 2022
AWS documentation corpus for zero-shot open-book question answering.

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CasualHealthcare's Pneumonia detection with Artificial Intelligence (Convolutional Neural Network)

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Using pytorch to implement unet network for liver image segmentation.

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Implementation of MA-Trace - a general-purpose multi-agent RL algorithm for cooperative environments.

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4 Aug 18, 2022
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature

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Face-Recognition-based-Attendance-System - An implementation of Attendance System in python.

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Video Matting via Consistency-Regularized Graph Neural Networks

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A large dataset of 100k Google Satellite and matching Map images, resembling pix2pix's Google Maps dataset.

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34 Dec 28, 2022
Dialect classification

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Jremesh-tools - Blender addon for quad remeshing

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Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

Self Supervised Learning with Fastai Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks. Install pip install self-

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Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Syne Tune This package provides state-of-the-art distributed hyperparameter optimizers (HPO) where trials can be evaluated with several backend option

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[CVPR 2021] Generative Hierarchical Features from Synthesizing Images

[CVPR 2021] Generative Hierarchical Features from Synthesizing Images

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Data and Code for paper Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph is available for research purposes.

Data and Code for paper Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph is available f

Yongrui Chen 5 Nov 10, 2022
Tensorflow port of a full NetVLAD network

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