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python

python_intro_hackathon

python_rest_flask

Flask Rest API

pytorch-chatbot

Simple chatbot implementation with PyTorch.

pytorch-learners-tutorial

PyTorch tutorial for learners

pytorch-tutorials

pytorch_recsys

Pytorch implementation of recommender systems

pytorchrec

Recommender System including multiple algorithms (PyTorch Based)

recommendation-system-with-sae-using-pytorch

Recommender System Model using Stacked Autoencoder

recommender_pytorch

A recommender system in PyTorch from scratch.

recommendersystem

Pytorch Recommender System using MovieLens100k dataset

recommendersystems_pydata_2016

research-on-effects-of-ads-on-telecom-productivity

rnn-recommender

Recommender system with RNN in PyTorch

scalable-hashtag-recommender-system

Scalable hashtag recommender system based on mini-batch fast k-means and neural networks

serverless-flask

Serverless Template for a Flask application

sktime

A scikit-learn compatible Python toolbox for machine learning with time series

space-app-challenge-tutorial

A series of tutorials for NASA International Space Apps Challenge

spade

spot-the-mask-challenge-by_zindiweekendz

Face masks have become a common public sight in the last few months. The Centers for Disease Control (CDC) recently advised the use of simple cloth face coverings to slow the spread of the virus and help people who may have the virus and do not know it from transmitting it to others. Wearing masks is broadly recognised as critical to reducing community transmission and limiting touching of the face. In a time of concerns about slowing the transmission of COVID-19, increased surveillance combined with AI solutions can improve monitoring and reduce the human effort needed to limit the spread of this disease. The objective of this challenge is to create an image classification machine learning model to accurately predict the likelihood that an image contains a person wearing a face mask, or not. The total dataset contains 1,800+ images of people either wearing masks or not. Your machine learning solution will help policymakers, law enforcement, hospitals, and even commercial businesses ensure that masks are being worn appropriately in public. These solutions can help in the battle to reduce community transmission of COVID-19.

standard-bank-tech-impact-challenge

This solution rank 3rd place in predicting the likelihood of credit default of ecommerce clients

stat479-machine-learning-fs18

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

stepintorecommendersystems

RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分

strata_sj_2018_recommender_tutorial

Tutorial materials for PyTorch for Recommender Systems from Strata 2018 San Jose

teach-machine-to-trade

tensorflow-signal-processing

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

tf2

TensorFlow 2.x Jupyter Notebooks

torchctr

Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP

ud777-writing-readmes

Supplemental material for Udacity's "Writing READMEs" course

umojahack-ghana-expresso-churn-prediction-challenge-by-umojahack-africa-6th-place-solution