Python Interview Questions

Overview

Python Interview Questions

  1. Clone the code to your computer.
  2. 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.
  3. 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
ClassmateLin
Run containerized, rootless applications with podman

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Episodic-memory - Ego4D Episodic Memory Benchmark

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This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation".

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An elaborate and exhaustive paper list for Named Entity Recognition (NER)

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A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perform basic tasks.

AI_Personal_Voice_Assistant_Using_Python A project to build an AI voice assistant using Python . The Voice assistant interacts with the humans to perf

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Flower classification model that classifies flowers in 10 classes made using transfer learning (~85% accuracy).

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Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

StrengthNet Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis" https://arxiv.org/abs/2110

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Implementation of Axial attention - attending to multi-dimensional data efficiently

Axial Attention Implementation of Axial attention in Pytorch. A simple but powerful technique to attend to multi-dimensional data efficiently. It has

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Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage

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PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)

PyExplainer PyExplainer is a local rule-based model-agnostic technique for generating explanations (i.e., why a commit is predicted as defective) of J

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Pytorch implementation of MaskGIT: Masked Generative Image Transformer

Pytorch implementation of MaskGIT: Masked Generative Image Transformer

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Implementation of "A MLP-like Architecture for Dense Prediction"

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Misc YOLOL scripts for use in the Starbase space sandbox videogame

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Collection of common code that's shared among different research projects in FAIR computer vision team.

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🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

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"Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback"

This is code repo for our EMNLP 2017 paper "Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback", which implements the A2C algorithm on top of a neural encoder-

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Code for the paper "Combining Textual Features for the Detection of Hateful and Offensive Language"

The repository provides the source code for the paper "Combining Textual Features for the Detection of Hateful and Offensive Language" submitted to HA

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for a paper about leveraging discourse markers for training new models

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LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

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