This repository is related to an Arabic tutorial, within the tutorial we discuss the common data structure and algorithms and their worst and best case for each, then implement the code using Python.

Last update: Dec 02, 2022

Overview

Data Structure and Algorithms with Python

This repository is related to the Arabic tutorial here, within the tutorial we discuss the common data structure and algorithms and their worst and best case for each, then implement the code using Python.

The code implement the four common data structure operations

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The data structure and algorithms implemented with Python are:

Python built-in data structure methods efficiency.

Owner

Mohamed Ayman

It's OK not to know!!.

GitHub Repository

Based on Stockfish neural network(similar to LcZero)

MarcoEngine Marco Engine - interesnaya neyronnaya shakhmatnaya set', kotoraya ispol'zuyet metod samoobucheniya(dostizheniye khoroshoy igy putem proboy

4 Mar 12, 2022

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

One Pixel Attack How simple is it to cause a deep neural network to misclassify an image if an attacker is only allowed to modify the color of one pix

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This repository is related to an Arabic tutorial, within the tutorial we discuss the common data structure and algorithms and their worst and best case for each, then implement the code using Python.

Related tags

Overview

Data Structure and Algorithms with Python

Owner

Mohamed Ayman

Based on Stockfish neural network(similar to LcZero)

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

realsense d400 -> jpg + csv

Visualizer using audio and semantic analysis to explore BigGAN (Brock et al., 2018) latent space.

The 1st Place Solution of the Facebook AI Image Similarity Challenge (ISC21) : Descriptor Track.

Unofficial implementation of the Involution operation from CVPR 2021

A Convolutional Transformer for Keyword Spotting

General Multi-label Image Classification with Transformers

Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021

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

基于Paddlepaddle复现yolov5，支持PaddleDetection接口

pytorch implementation of trDesign

NumPy로 구현한 딥러닝 라이브러리입니다. (자동 미분 지원)

Model Quantization Benchmark

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

The devkit of the nuScenes dataset.

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

Caffe: a fast open framework for deep learning.

A Gura parser implementation for Python

Using LSTM to detect spoofing attacks in an Air-Ground network

This repository is related to an Arabic tutorial, within the tutorial we discuss the common data structure and algorithms and their worst and best case for each, then implement the code using Python.

Related tags

Overview

Data Structure and Algorithms with Python

Owner

Mohamed Ayman

Based on Stockfish neural network(similar to LcZero)

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

realsense d400 -> jpg + csv

Visualizer using audio and semantic analysis to explore BigGAN (Brock et al., 2018) latent space.

The 1st Place Solution of the Facebook AI Image Similarity Challenge (ISC21) : Descriptor Track.

Unofficial implementation of the Involution operation from CVPR 2021

A Convolutional Transformer for Keyword Spotting

General Multi-label Image Classification with Transformers

Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021

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

基于Paddlepaddle复现yolov5，支持PaddleDetection接口

pytorch implementation of trDesign

NumPy로 구현한 딥러닝 라이브러리입니다. (자동 미분 지원)

Model Quantization Benchmark

THIS IS THE **OLD** PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:

The devkit of the nuScenes dataset.

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

Caffe: a fast open framework for deep learning.

A Gura parser implementation for Python

Using LSTM to detect spoofing attacks in an Air-Ground network

THIS IS THE OLD PYMC PROJECT. PLEASE USE PYMC3 INSTEAD: