Everything you need to know about NumPy( Creating Arrays, Indexing, Math,Statistics,Reshaping).

Last update: Feb 14, 2022

Related tags

Deep Learning Python_NumPy

Overview

Python_NumPy

Everything you need to know about NumPy( Creating Arrays, Indexing, Math,Statistics,Reshaping).

Why NumPy instead of List?.

Numby is Faster, while List are slow.

Why is Numby Faster?

Fixed Type.

Faster to Read Less Bytes of Memory.
No Type checking when Iterating through Objects.

Utilize Contiguous Memory.

SIMD (Single Instruction Multiple Data) Vector Processing.
Effective Cache Utilization.

Aplication of NumPy.

Mathematics (MATHLAB Replacement).
Plotting (Matplotlib)
Backend(Pandas, Connect4, Digital Photography)
Machine Learning.

Owner

Data Science

GitHub Repository

📝 Wrapper library for text generation / language models at char and word level with RNN in TensorFlow

tensorlm Generate Shakespeare poems with 4 lines of code. Installation tensorlm is written in / for Python 3.4+ and TensorFlow 1.1+ pip3 install tenso

63 May 22, 2021

PyTorch implementation of EGVSR: Efficcient & Generic Video Super-Resolution (VSR)

This is a PyTorch implementation of EGVSR: Efficcient & Generic Video Super-Resolution (VSR), using subpixel convolution to optimize the inference speed of TecoGAN VSR model. Please refer to the offi

789 Jan 04, 2023

Mememoji - A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

a project built with deep convolutional neural network and ❤️ Table of Contents Motivation The Database The Model 3.1 Input Layer 3.2 Convolutional La

761 Dec 05, 2022

[CVPR 2022] Deep Equilibrium Optical Flow Estimation

Deep Equilibrium Optical Flow Estimation This is the official repo for the paper Deep Equilibrium Optical Flow Estimation (CVPR 2022), by Shaojie Bai*

136 Dec 18, 2022

A Simple Key-Value Data-store written in Python

mercury-db This is a File Based Key-Value Datastore that supports basic CRUD (Create, Read, Update, Delete) operations developed using Python. The dat

1 Jan 09, 2022

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

Front-end View Backend View Table of Contents Description Prerequisites Running Basic Information Measurements User Interface Feedback and usage Descr

58 Dec 02, 2022

SMD-Nets: Stereo Mixture Density Networks

SMD-Nets: Stereo Mixture Density Networks This repository contains a Pytorch implementation of "SMD-Nets: Stereo Mixture Density Networks" (CVPR 2021)

115 Dec 26, 2022

Neural Nano-Optics for High-quality Thin Lens Imaging

Neural Nano-Optics for High-quality Thin Lens Imaging Project Page | Paper | Data Ethan Tseng, Shane Colburn, James Whitehead, Luocheng Huang, Seung-H

39 Dec 05, 2022

SpiroMask: Measuring Lung Function Using Consumer-Grade Masks

SpiroMask: Measuring Lung Function Using Consumer-Grade Masks Anonymised repository for paper submitted for peer review at ACM HEALTH (October 2021).

0 May 10, 2022

Fully Convlutional Neural Networks for state-of-the-art time series classification

Deep Learning for Time Series Classification As the simplest type of time series data, univariate time series provides a reasonably good starting poin

572 Dec 23, 2022

tf2onnx - Convert TensorFlow, Keras and Tflite models to ONNX.

tf2onnx converts TensorFlow (tf-1.x or tf-2.x), tf.keras and tflite models to ONNX via command line or python api.

1.8k Jan 08, 2023

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

learning-to-reweight-examples Code for paper Learning to Reweight Examples for Robust Deep Learning. [arxiv] Environment We tested the code on tensorf

261 Jan 01, 2023

Code repo for "Transformer on a Diet" paper

Transformer on a Diet Reference: C Wang, Z Ye, A Zhang, Z Zhang, A Smola. "Transformer on a Diet". arXiv preprint arXiv (2020). Installation pip insta

31 Sep 26, 2021

Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

898 Jan 07, 2023

Everything you need to know about NumPy( Creating Arrays, Indexing, Math,Statistics,Reshaping).

Related tags

Overview

Python_NumPy

Why NumPy instead of List?.

Why is Numby Faster?

Aplication of NumPy.

Owner

📝 Wrapper library for text generation / language models at char and word level with RNN in TensorFlow

PyTorch implementation of EGVSR: Efficcient & Generic Video Super-Resolution (VSR)

Mememoji - A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

[CVPR 2022] Deep Equilibrium Optical Flow Estimation

A Simple Key-Value Data-store written in Python

MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.

SMD-Nets: Stereo Mixture Density Networks

Neural Nano-Optics for High-quality Thin Lens Imaging

SpiroMask: Measuring Lung Function Using Consumer-Grade Masks

Fully Convlutional Neural Networks for state-of-the-art time series classification

tf2onnx - Convert TensorFlow, Keras and Tflite models to ONNX.

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

Code repo for "Transformer on a Diet" paper

Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

My freqtrade strategies

Highway networks implemented in PyTorch.

MassiveSumm: a very large-scale, very multilingual, news summarisation dataset

Implementation of Graph Convolutional Networks in TensorFlow

Face and Pose detector that emits MQTT events when a face or human body is detected and not detected.

Nvidia Semantic Segmentation monorepo