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

Last update: Dec 24, 2022

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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!

Owner

GitHub Repository

Self-describing JSON-RPC services made easy

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31 Jul 16, 2022

Python Implementation of algorithms in Graph Mining, e.g., Recommendation, Collaborative Filtering, Community Detection, Spectral Clustering, Modularity Maximization, co-authorship networks.

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HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation

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A custom DeepStack model for detecting 16 human actions.

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Multiwavelets-based operator model

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178 Nov 28, 2022

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603 Dec 22, 2022

My personal code and solution to the Synacor Challenge from 2012 OSCON.

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2 Mar 20, 2022

Dogs classification with Deep Metric Learning using some popular losses

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45 Nov 09, 2022

Learning where to learn - Gradient sparsity in meta and continual learning

Learning where to learn - Gradient sparsity in meta and continual learning In this paper, we investigate gradient sparsity found by MAML in various co

28 Dec 09, 2022

Prototype-based Incremental Few-Shot Semantic Segmentation

Prototype-based Incremental Few-Shot Semantic Segmentation Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo -- BMVC 20

21 Dec 29, 2022

Implements pytorch code for the Accelerated SGD algorithm.

AccSGD This is the code associated with Accelerated SGD algorithm used in the paper On the insufficiency of existing momentum schemes for Stochastic O

205 Jan 02, 2023

Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"

LADA This repo contains codes for the following paper: Jiaao Chen*, Zhenghui Wang*, Ran Tian, Zichao Yang, Diyi Yang: Local Additivity Based Data Augm

36 Dec 02, 2022

Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning".

ERICA Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive L

75 Nov 02, 2022

This is an official PyTorch implementation of Task-Adaptive Neural Network Search with Meta-Contrastive Learning (NeurIPS 2021, Spotlight).

NeurIPS 2021 (Spotlight): Task-Adaptive Neural Network Search with Meta-Contrastive Learning This is an official PyTorch implementation of Task-Adapti

15 Nov 21, 2022