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amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

amusingpythoncodes

Interesting python codes to tackle simple machine/deep learning tasks

android-demo-app

PyTorch android examples of usage in applications

asset-allocation-system

Forecasting returns and risks for 5 major markets with a neural network, and allocate investment weighting to maximize return while minimizing risks. Click link to see the web app

blendedmvs

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

correlation-analysis-between-consumer-price-index-and-service-price-index

This project uses the statistical data of Hebei Province from 2011 to 2017 to analyze the consumer consumption index and the service price index and the consumer price index. Using python3.6 as a development tool, the correlation coefficient is calculated on a monthly basis, and the correlation curve is drawn.

cpi-inflation-calculator

Created: 14th January 2022 This is a CPI (consumer price index) calculator website. The video below is a walkthrough of the creation of the project: https://www.youtube.com/watch?v=Nhv67uMunrQ

cpi_hrnn

Forecasting CPI Inflation with Hierarchical Recurrent Neural Networks

curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

dagshub-demo

Demo of DagsHub

darts

A python library for user-friendly forecasting and anomaly detection on time series.

deberta

The implementation of DeBERTa

dmz-workshop-er-search

Slides and notebooks presented at the 2019 DMZ conference in Stuttgart

fecon235

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

few-labels-webinar

Demo for learning with few labels webinar

flamingo_project

A data analysis of the U.S. housing market using Zillow Research and Consumer Price Index (CPI) to compare housing costs and cost of living across multiple U.S. cities.

forecasting-inflation-rates-of-poland

Recently inflation is a popular topic in Poland and is highest since 2001. Experts presume inflation in Poland should continue to rise, and by the end of 2021 it will be close to 8%. This notebook aims to develop a forecasting model for time series using Python.

fraud-detection-webinar

A brief notebook containing the code needed to replicate the contents of the presentation.

freeu

FreeU: Free Lunch in Diffusion U-Net

gpt-lotto

keras-acgan-sagemaker

lottery-number-prediction

That's a project of machine learning, made in order to determine possible numbers to win a lottery (not finished yet).

lottery-prediction-lstm

Lottery result prediction based on LSTM.

lottery-ticket-hypothesis-in-pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

lottery_prediction

LSTM based lottery forecast model

lottery_predictor

Lottery predictor using python

lotteryprediction

:full_moon_with_face: Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

lotterypredictor

Python program that analyzes past winning lottery numbers and predicts a future winning ticket!!

lotto-predict

Attempt prediction of lottery numbers using a Keras LSTM neural-network with Tensorflow backend