Repo público onde postarei meus estudos de Python, buscando aprender por meio do compartilhamento do aprendizado!

Overview

Seja bem vindo à minha repo de Estudos em Python 3!



Este é um repositório criado por um programador amador que estuda tópicos de finanças, estatísticas e data science.

Quero deixar claro que não sou nenhum tipo de especialista, só sou apenas alguém que quer aprender por meio da criação destes notebooks, e, aproveitar para ajudar o aprendizado do próximo.

Neste repo estou postando notebooks sobre os assuntos que vou estudando em Python 3, aqui teremos notebooks sobre assuntos de Python, de forma mais genérica, porém sempre com o viés de dados/finanças; notebooks sobre finanças mais especificamente, e também notebooks sobre Machine Learning. Esses são os 3 principais tópicos que eu estou estudando atualmente.

Sinta-se livre para fazer sugestões (PRs) ou entrar em contato comigo via Reddit! No u/_jvsm!

Algo-burn - Script to configure an Algorand address as a "burn" address for one or more ASA tokens

Algorand Burn Address This is a simple script to illustrate how a "burn address"

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pytorch implementation of dftd2 & dftd3

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33 Nov 28, 2022
Artificial Neural network regression model to predict the energy output in a combined cycle power plant.

Energy_Output_Predictor Artificial Neural network regression model to predict the energy output in a combined cycle power plant. Abstract Energy outpu

1 Feb 11, 2022
ML models and internal tensors 3D visualizer

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Zetane Systems 787 Dec 30, 2022
Self-supervised learning (SSL) is a method of machine learning

Self-supervised learning (SSL) is a method of machine learning. It learns from unlabeled sample data. It can be regarded as an intermediate form between supervised and unsupervised learning.

Ashish Patel 4 May 26, 2022
Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020

PlantDoc: A Dataset for Visual Plant Disease Detection This repository contains the Cropped-PlantDoc dataset used for benchmarking classification mode

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Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers

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Rainbow DQN implementation that outperforms the paper's results on 40% of games using 20x less data 🌈

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Dominik Schmidt 31 Dec 21, 2022
Animation of solving the traveling salesman problem to optimality using mixed-integer programming and iteratively eliminating sub tours

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4 Nov 05, 2022
An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.

Multi-Car Racing Gym Environment This repository contains MultiCarRacing-v0 a multiplayer variant of Gym's original CarRacing-v0 environment. This env

Igor Gilitschenski 56 Nov 01, 2022
PyTorch implementation of SIFT descriptor

This is an differentiable pytorch implementation of SIFT patch descriptor. It is very slow for describing one patch, but quite fast for batch. It can

Dmytro Mishkin 150 Dec 24, 2022
A lightweight library to compare different PyTorch implementations of the same network architecture.

TorchBug is a lightweight library designed to compare two PyTorch implementations of the same network architecture. It allows you to count, and compar

Arjun Krishnakumar 5 Jan 02, 2023
A fast python implementation of Ray Tracing in One Weekend using python and Taichi

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157 Dec 26, 2022
Generative Models for Graph-Based Protein Design

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Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

SkFlow has been moved to Tensorflow. SkFlow has been moved to http://github.com/tensorflow/tensorflow into contrib folder specifically located here. T

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Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR)

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Yongchun Zhu 81 Dec 29, 2022
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

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A Strong Baseline for Image Semantic Segmentation

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Clark He 49 Sep 20, 2022
Publication describing 3 ML examples at NSLS-II and interfacing into Bluesky

Machine learning enabling high-throughput and remote operations at large-scale user facilities. Overview This repository contains the source code and

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In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

In-Place Activated BatchNorm In-Place Activated BatchNorm for Memory-Optimized Training of DNNs In-Place Activated BatchNorm (InPlace-ABN) is a novel

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