3271 Repositories
Python deep-video-prior Libraries
Automagically synchronize subtitles with video.
FFsubsync Language-agnostic automatic synchronization of subtitles with video, so that subtitles are aligned to the correct starting point within the
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
AlexNet training on ImageNet LSVRC 2012 This repository contains an implementation of AlexNet convolutional neural network and its training and testin
This is a Telegram video compress bot repo. By Binary Tech๐ซ
This is a Telegram Video Compress Bot. Prouduct By Binary Tech ๐ซ Features Compresse videos and generate screenshots too.You can set custom video name
This is a Telegram video compress bot repo. By Binary Tech๐ซ
This is a Telegram Video Compress Bot. Prouduct By Binary Tech ๐ซ Features Compresse videos and generate screenshots too.You can set custom video name
Cvplayer - A simple video player written in python using ffpyplayer and OpenCV
Video Player cvplayer is a minimal wrapper around the ffpyplayer.MediaPlayer cla
MoCoPnet - Deformable 3D Convolution for Video Super-Resolution
Deformable 3D Convolution for Video Super-Resolution Pytorch implementation of l
An interactive DNN Model deployed on web that predicts the chance of heart failure for a patient with an accuracy of 98%
Heart Failure Predictor About A Web UI deployed Dense Neural Network Model Made using Tensorflow that predicts whether the patient is healthy or has c
Code for paper "Multi-level Disentanglement Graph Neural Network"
Multi-level Disentanglement Graph Neural Network (MD-GNN) This is a PyTorch implementation of the MD-GNN, and the code includes the following modules:
CIFAR-10 Photo Classification
Image-Classification CIFAR-10 Photo Classification CIFAR-10_Dataset_Classfication CIFAR-10 Photo Classification Dataset CIFAR is an acronym that stand
๐ An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku
๐ An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku
Reinforcement learning algorithms in RLlib
raylab Reinforcement learning algorithms in RLlib and PyTorch. Installation pip install raylab Quickstart Raylab provides agents and environments to b
An image classification app boilerplate to serve your deep learning models asap!
Image ๐ผ Classification App Boilerplate Have you been puzzled by tons of videos, blogs and other resources on the internet and don't know where and ho
An open-source project for applying deep learning to medical scenarios
Auto Vaidya An open source solution for creating end-end web app for employing the power of deep learning in various clinical scenarios like implant d
A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial.
Streamlit Demo: Deep Dream A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial How to run this de
This is a TG Video Compress BoT. Product by BINARY Tech
๐ Video Compressor Bot Product by BINARY Tech Deploy to Heroku The Hard Way virtualenv -p python3 VENV . ./VENV/bin/activate pip install -r requireme
DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.
Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures Dataset: https://s3.amazonaws.com/fast-ai-nlp/yelp_review_polar
The official implementation of paper "Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks" (IJCV under review).
DGMS This is the code of the paper "Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks". Installation Our code works with Pytho
AAAI-22 paper: SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning
SimSR Code and dataset for the paper SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning (AAAI-22). Requirements We assum
A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
The GatedTabTransformer. A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron. C
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
FaceQgen FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment This repository is based on the paper: "FaceQgen: Semi-Supervised D
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
Mammoth - An Extendible (General) Continual Learning Framework for Pytorch NEWS STAY TUNED: We are working on an update of this repository to include
Referring Video Object Segmentation
Awesome-Referring-Video-Object-Segmentation Welcome to starts โญ & comments ๐น & sharing ๐ !! - 2021.12.12: Recent papers (from 2021) - welcome to ad
A collection of implementations of deep domain adaptation algorithms
Deep Transfer Learning on PyTorch This is a PyTorch library for deep transfer learning. We divide the code into two aspects: Single-source Unsupervise
Meteor scan - Scan through video for meteor
meteor_scan Scan through video for meteor Installation Install python packages b
ReferFormer - Official Implementation of ReferFormer
The official implementation of the paper: Language as Queries for Referring Vide
A simple Tensorflow based library for deep and/or denoising AutoEncoder.
libsdae - deep-Autoencoder & denoising autoencoder A simple Tensorflow based library for Deep autoencoder and denoising AE. Library follows sklearn st
VideocompBot - This is TG Video Compress BoT. Prouduct By BINARY Tech ๐ซ
VideocompBot - This is TG Video Compress BoT. Prouduct By BINARY Tech ๐ซ
Imaginaire - NVIDIA's Deep Imagination Team's PyTorch Library
Imaginaire Docs | License | Installation | Model Zoo Imaginaire is a pytorch library that contains optimized implementation of several image and video
IEGAN โ Official PyTorch Implementation Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation
IEGAN โ Official PyTorch Implementation Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation Independent Encoder for Deep
Pytorch implementation for ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation".
I2V-GAN This repository is the official Pytorch implementation for ACMMM2021 paper "I2V-GAN: Unpaired Infrared-to-Visible Video Translation". Traffic
STEFANN: Scene Text Editor using Font Adaptive Neural Network
STEFANN: Scene Text Editor using Font Adaptive Neural Network @ The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
NICE-GAN โ Official PyTorch Implementation Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
NICE-GAN-pytorch - Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
Ganilla - Official Pytorch implementation of GANILLA
GANILLA We provide PyTorch implementation for: GANILLA: Generative Adversarial Networks for Image to Illustration Translation. Paper Arxiv Updates (Fe
Official PyTorch implementation of the paper: DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample
DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample (ICCV 2021 Oral) Project | Paper Official PyTorch implementation of the pape
PyTorch code for ICPR 2020 paper Future Urban Scene Generation Through Vehicle Synthesis
Future urban scene generation through vehicle synthesis This repository contains Pytorch code for the ICPR2020 paper "Future Urban Scene Generation Th
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Abstract: Image-to-image translation has recently achieved re
Photo2cartoon - ไบบๅๅก้ๅๆข็ดข้กน็ฎ (photo-to-cartoon translation project)
ไบบๅๅก้ๅ (Photo to Cartoon) ไธญๆ็ | English Version ่ฏฅ้กน็ฎไธบๅฐ่ง็งๆๅก้่ๅๆข็ดข้กน็ฎใๆจๅฏไฝฟ็จๅพฎไฟกๆซๆไธๆนไบ็ปด็ ๆๆ็ดขโAIๅก้็งโๅฐ็จๅบไฝ้ชๅก้ๅๆๆใ
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
AttentionGAN-v2 for Unpaired Image-to-Image Translation AttentionGAN-v2 Framework The proposed generator learns both foreground and background attenti
PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
deep-hist PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation PyT
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans Introduction We introduce the task of dense captioning in 3D scans from commodity RGB-D sensor
Official pytorch implementation of the AAAI 2021 paper Semantic Grouping Network for Video Captioning
Semantic Grouping Network for Video Captioning Hobin Ryu, Sunghun Kang, Haeyong Kang, and Chang D. Yoo. AAAI 2021. [arxiv] Environment Ubuntu 16.04 CU
PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning PyTorch code for our ACL 2020 paper "MART: Memory-Augmented Recur
This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
Awesome-Visual-Captioning Table of Contents ACL-2021 CVPR-2021 AAAI-2021 ACMMM-2020 NeurIPS-2020 ECCV-2020 CVPR-2020 ACL-2020 AAAI-2020 ACL-2019 NeurI
Fashion Entity Classification
Fashion-Entity-Classification - Fashion-MNIST is a dataset of Zalando's article imagesโconsisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.
FTIR-Deep Learning - FTIR Deep Learning With Python
CANDIY-spectrum Human analyis of chemical spectra such as Mass Spectra (MS), Inf
Stinky ID - A stable pluggable Telegram userbot + Voice & Video Call music bot, based on Telethon
Ultroid - UserBot A stable pluggable Telegram userbot + Voice & Video Call music
DCGAN-tensorflow - A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
DCGAN in Tensorflow Tensorflow implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networ
Convnet transfer - Code for paper How transferable are features in deep neural networks?
How transferable are features in deep neural networks? This repository contains source code necessary to reproduce the results presented in the follow
TensorFlow implementation of Deep Reinforcement Learning papers
Deep Reinforcement Learning in TensorFlow TensorFlow implementation of Deep Reinforcement Learning papers. This implementation contains: [1] Playing A
Implementation of Deep Deterministic Policy Gradiet Algorithm in Tensorflow
ddpg-aigym Deep Deterministic Policy Gradient Implementation of Deep Deterministic Policy Gradiet Algorithm (Lillicrap et al.arXiv:1509.02971.) in Ten
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition This is a Torch implementation of "Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhan
Deep Inside Convolutional Networks - This is a caffe implementation to visualize the learnt model
Deep Inside Convolutional Networks This is a caffe implementation to visualize the learnt model. Part of a class project at Georgia Tech Problem State
Tensorflow implementation of soft-attention mechanism for video caption generation.
SA-tensorflow Tensorflow implementation of soft-attention mechanism for video caption generation. An example of soft-attention mechanism. The attentio
Code release for Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Deep-Learning-Image-Captioning - Implementing convolutional and recurrent neural networks in Keras to generate sentence descriptions of images
Deep Learning - Image Captioning with Convolutional and Recurrent Neural Nets ========================================================================
Telegram Music/ Video Streaming Bot Using Pytgcalls
Video Player ๐ฅ แดขแดษชแด แด แด แดสแดyแดส ษช๊ฑ แด แดแดสแดษขสแดแด แดสแดแดแดแดแด สแด๊ฑแดแด แดษด แดสสแดษขสแดแด ๊ฐแดส แดสแดส แดแด๊ฑษชแด๊ฑ ษชษด แด แด แดสแดแด๊ฑ... ๐ ก๐ ๐ ๐ ๐ ข๐ ฃ๐ ๐ ฃ๐ ข สแดQแดษชสแดแดแดษดแด๊ฑ ๐ FFmpeg NodeJ
Computer-Vision-Paper-Reviews - Computer Vision Paper Reviews with Key Summary along Papers & Codes
Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary along Papers & Codes. Jonathan Choi 2021 50+ Papers across Computer Visio
Code for our SIGCOMM'21 paper "Network Planning with Deep Reinforcement Learning".
0. Introduction This repository contains the source code for our SIGCOMM'21 paper "Network Planning with Deep Reinforcement Learning". Notes The netwo
Benchmark VAE - Library for Variational Autoencoder benchmarking
Documentation pythae This library implements some of the most common (Variational) Autoencoder models. In particular it provides the possibility to pe
A video scene detection algorithm is designed to detect a variety of different scenes within a video
Scene-Change-Detection - A video scene detection algorithm is designed to detect a variety of different scenes within a video. There is a very simple definition for a scene: It is a series of logically and chronologically related shots taken in a specific order to depict an over-arching concept or story.
DIP-football - A football video analyse system based on Yolov5, alphapose, Qt6
่ถณ็่ง้ขๅๆ็ณป็ป ไฝ่ ้ๅพไธ [email protected] ๆนๅคฉๅฎฌ [email protected] ็ฎไป ๆฌ้กน็ฎๆฏSJTU 21-22ๅญฆๅนดCS386 ๆฐๅญๅพๅๅค็่ฏพ็จ็ๅคงไฝไธ๏ผๆฌๆๆฏ่ถณ็่ง้ขๅๆ็ณป็ป็ๅ่ๆๆกฃใๆไปฌไธป่ฆๅฎ็ฐไบไปฅไธๅ่ฝ๏ผ ๅบไบYolo v5ๅPastaNetๆญๅปบไบ่ถณ็่ง้ข็
LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating
LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating (Dataset) The dataset is from Amazon Review Data (2018)
MLR - Machine Learning Research
Machine Learning Research 1. Project Topic 1.1. Exsiting research Benmark: https://paperswithcode.com/sota ACL anthology for NLP papers: http://www.ac
Doods2 - API for detecting objects in images and video streams using Tensorflow
DOODS2 - Return of DOODS Dedicated Open Object Detection Service - Yes, it's a b
Video-Player - Telegram Music/ Video Streaming Bot Using Pytgcalls
Video Player ๐ฅ แดขแดษชแด แด แด แดสแดyแดส ษช๊ฑ แด แดแดสแดษขสแดแด แดสแดแดแดแดแด สแด๊ฑแดแด แดษด แดสสแดษขสแดแด ๊ฐแดส แดสแดส
Ffmpeg videostream - High speed video frame access in Python, using FFmpeg and FFshow
FFmpeg VideoStream High speed video frame access in Python, using FFmpeg and FFshow This script requires: Karl Kroening's 'ffmpeg-python' library. (ht
Python wrapper class for OpenVINO Model Server. User can submit inference request to OVMS with just a few lines of code
Python wrapper class for OpenVINO Model Server. User can submit inference request to OVMS with just a few lines of code.
Video stream image stacking -- live version
video stream image stacking v2 -- live version A very simple streamed video image stacking code! Version 2.1 left mouse click to select a small region
๐ด ๐ก๐๐๐๐๐๐๐ ๐๐๐ก ๐กโ๐๐ก ๐๐๐ ๐๐๐ค๐๐๐๐๐ ๐ฃ๐๐๐๐ ๐๐๐ ๐๐ข๐๐๐ ๐๐๐๐ ๐ฆ๐๐ข๐ก๐ข๐๐ ๐๐๐ ๐ฃ๐๐๐๐ ๐ค๐๐๐ ๐๐ก๐๐ ๐๐ข๐๐๐๐๐ฆ
๐ด ๐ก๐๐๐๐๐๐๐ ๐๐๐ก ๐กโ๐๐ก ๐๐๐ ๐๐๐ค๐๐๐๐๐ ๐ฃ๐๐๐๐ ๐๐๐ ๐๐ข๐๐๐ ๐๐๐๐ ๐ฆ๐๐ข๐ก๐ข๐๐ ๐๐๐ ๐ฃ๐๐๐๐ ๐ค๐๐๐ ๐๐ก๐๐ ๐๐ข๐๐๐๐๐ฆ
Deep-Learning-Book-Chapter-Summaries - Attempting to make the Deep Learning Book easier to understand.
Deep-Learning-Book-Chapter-Summaries This repository provides a summary for each chapter of the Deep Learning book by Ian Goodfellow, Yoshua Bengio an
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Snake - Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
Good news! Snake algorithms exhibit state-of-the-art performances on COCO dataset: DANCE Deep Snake for Real-Time Instance Segmentation Deep Snake for
Awesome-AI-books - Some awesome AI related books and pdfs for learning and downloading
Awesome AI books Some awesome AI related books and pdfs for downloading and learning. Preface This repo only used for learning, do not use in business
Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers
Deep-learning-roadmap - All You Need to Know About Deep Learning - A kick-starter
Deep Learning - All You Need to Know Sponsorship To support maintaining and upgrading this project, please kindly consider Sponsoring the project deve
Tianshou - An elegant PyTorch deep reinforcement learning library.
Tianshou (ๅคฉๆ) is a reinforcement learning platform based on pure PyTorch. Unlike existing reinforcement learning libraries, which are mainly based on
AutoGluon: AutoML for Text, Image, and Tabular Data
AutoML for Text, Image, and Tabular Data AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in yo
NanoDet-PlusโกSuper fast and lightweight anchor-free object detection model. ๐ฅOnly 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone๐ฅ
NanoDet-PlusโกSuper fast and lightweight anchor-free object detection model. ๐ฅOnly 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone๐ฅ
Gans-in-action - Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
GANs in Action by Jakub Langr and Vladimir Bok List of available code: Chapter 2: Colab, Notebook Chapter 3: Notebook Chapter 4: Notebook Chapter 6: C
PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
Partial Convolutions for Image Inpainting using Keras Keras implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions", https
TensorFlow-LiveLessons - "Deep Learning with TensorFlow" LiveLessons
TensorFlow-LiveLessons Note that the second edition of this video series is now available here. The second edition contains all of the content from th
Coursera - Quiz & Assignment of Coursera
Coursera Assignments This repository is aimed to help Coursera learners who have difficulties in their learning process. The quiz and programming home
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai
Coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
PyTorch-Multi-Style-Transfer - Neural Style and MSG-Net
PyTorch-Style-Transfer This repo provides PyTorch Implementation of MSG-Net (ours) and Neural Style (Gatys et al. CVPR 2016), which has been included
Speech-Emotion-Analyzer - The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Speech Emotion Analyzer The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have
Aws-machine-learning-university-accelerated-tab - Machine Learning University: Accelerated Tabular Data Class
Machine Learning University: Accelerated Tabular Data Class This repository contains slides, notebooks, and datasets for the Machine Learning Universi
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models
Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor
Python Deep Dive Course - Accompanying Materials
Python Deep Dive Various Jupyter notebooks and Python sources associated with my Udemy Python 3 Deep Dive course series: Part 1: Mainly functional pro
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Keras Realtime Multi-Person Pose Estimation - Keras version of Realtime Multi-Person Pose Estimation project
This repository has become incompatible with the latest and recommended version of Tensorflow 2.0 Instead of refactoring this code painfully, I create
Finetune alexnet with tensorflow - Code for finetuning AlexNet in TensorFlow = 1.2rc0
Finetune AlexNet with Tensorflow Update 15.06.2016 I revised the entire code base to work with the new input pipeline coming with TensorFlow = versio
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
TensorFlow 101: Introduction to Deep Learning I have worked all my life in Machine Learning, and I've never seen one algorithm knock over its benchmar
Saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Saliency Methods ๐ด Now framework-agnostic! (Example core notebook) ๐ด ๐ For further explanation of the methods and more examples of the resulting ma
Intro-to-dl - Resources for "Introduction to Deep Learning" course.
Introduction to Deep Learning course resources https://www.coursera.org/learn/intro-to-deep-learning Running on Google Colab (tested for all weeks) Go
Video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR.
Official Discussion Group (Telegram): https://t.me/video2x A Discord server is also available. Please note that most developers are only on Telegram.
Client - ๐ฅ A tool for visualizing and tracking your machine learning experiments
Weights and Biases Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to produ
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Created by Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas from Sta
Autosub - Command-line utility for auto-generating subtitles for any video file
Auto-generated subtitles for any video Autosub is a utility for automatic speech recognition and subtitle generation. It takes a video or an a
Tensorflow-Project-Template - A best practice for tensorflow project template architecture.
Tensorflow Project Template A simple and well designed structure is essential for any Deep Learning project, so after a lot of practice and contributi
Repositรณrio criado para abrigar os notebooks com a listas de exercรญcios propostos pelo professor Gustavo Guanabara do canal Curso em Vรญdeo do YouTube durante o Curso de Python 3
Curso em Vรญdeo - Exercรญcios de Python 3 Sobre o repositรณrio Este repositรณrio contรฉm os notebooks com a listas de exercรญcios propostos pelo professor G