Python Interview Questions

Last update: Dec 28, 2022

Overview

Python Interview Questions

Clone the code to your computer.
You need to understand the code in main.py and modify the content in if __name__ =='__main__': to execute the get_key method in Algo.
If the code is executed correctly, there will be content output, otherwise there will be no output.

Tip: Currently only x86 Linux is supported, you may need to use docker to get environment support.

Tip2: The author has no money to pay for the cloud service, please try again on the 1st of next month.

Owner

ClassmateLin

GitHub Repository

Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.

gHHC Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, D

35 Nov 16, 2022

Code and data for "TURL: Table Understanding through Representation Learning"

TURL This Repo contains code and data for "TURL: Table Understanding through Representation Learning". Environment and Setup Data Pretraining Finetuni

63 Nov 23, 2022

Understanding Hyperdimensional Computing for Parallel Single-Pass Learning

Understanding Hyperdimensional Computing for Parallel Single-Pass Learning Authors: Tao Yu* Yichi Zhang* Zhiru Zhang Christopher De Sa *: Equal Contri

4 Sep 08, 2022

PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"

Memory In Memory Networks It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spati

12 May 30, 2022

A collection of IPython notebooks covering various topics.

ipython-notebooks This repo contains various IPython notebooks I've created to experiment with libraries and work through exercises, and explore subje

2.6k Jan 01, 2023

Official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal

SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal This is the official pytorch code for SSAT: A Symmetric Semantic-

57 Dec 13, 2022

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

A PyTorch Implementation of GGNN This is a PyTorch implementation of the Gated Graph Sequence Neural Networks (GGNN) as described in the paper Gated G

427 Dec 13, 2022

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Annoy Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given quer

10.6k Jan 04, 2023

AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

News 11 Jan 2020: We clean up the code to make it more readable! The old version is here: v1. AttGAN TIP Nov. 2019, arXiv Nov. 2017 TensorFlow impleme

568 Dec 14, 2022

Project looking into use of autoencoder for semi-supervised learning and comparing data requirements compared to supervised learning.

2 Dec 17, 2021

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

GNeRF This repository contains official code for the ICCV 2021 paper: GNeRF: GAN-based Neural Radiance Field without Posed Camera. This implementation

191 Dec 26, 2022

Python Interview Questions

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Overview

Python Interview Questions

Owner

ClassmateLin

Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.

Code and data for "TURL: Table Understanding through Representation Learning"

Understanding Hyperdimensional Computing for Parallel Single-Pass Learning

PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"

A collection of IPython notebooks covering various topics.

Official pytorch code for SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

Project looking into use of autoencoder for semi-supervised learning and comparing data requirements compared to supervised learning.

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens

Lightweight Cuda Renderer with Python Wrapper.

Network Enhancement implementation in pytorch

MVP Benchmark for Multi-View Partial Point Cloud Completion and Registration

K-Means Clustering and Hierarchical Clustering Unsupervised Learning Solution in Python3.

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Official repository of PanoAVQA: Grounded Audio-Visual Question Answering in 360° Videos (ICCV 2021)

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

AoT is a system for automatically generating off-target test harness by using build information.