Kodotautas's Stars
patrickloeber/pytorchTutorial
PyTorch Tutorials from my YouTube channel
SolClover/Art052_NN_GAN
Public repository containing materials used in the GAN article
danielhkt/deep-forecasting
Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
EnergieID/entsoe-py
Python client for the ENTSO-E API (european network of transmission system operators for electricity)
mkhorasani/Streamlit-Authenticator
A secure authentication module to manage user access in a Streamlit application.
jrieke/best-of-streamlit
🏆 A ranked gallery of awesome streamlit apps built by the community
getredash/redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
adnanaziz/EPIJudge
EPI Judge - Preview Release
TheAlgorithms/Python
All Algorithms implemented in Python
Invibit/Helium_Fast_Sync
A fast-sync GUI application offering one-click solutions for the milesight UG65 helium miner.
ferhatkaplan-dev/Pydoros
This is a pomodoro project.
darkprinx/break-the-ice-with-python
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
IDB-FOR-DATASCIENCE/Predictive-Excellence-Engine
In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models and employ several algorithms to perform feature engineering and selection on a multivariate time series dataset.
dhamvi01/Multivariate-Time-Series-Using-LSTM
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
martinmcbride/generativepy
Library for creating generative art and maths animations
fbaptiste/python-deepdive
Python Deep Dive Course - Accompanying Materials
Ebazhanov/linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
kjw0612/awesome-random-forest
Random Forest - a curated list of resources regarding random forest
curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
phrasenmaeher/data-science-checklist
A checklist to track your Data Science progress
mariostoev/finviz
Unofficial API for finviz.com
pierreaubert/spinorama
A library to display and compare spinorama (speakers measurements) graphs.
parrt/random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn models
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
jaakkopasanen/AutoEq
Automatic headphone equalization from frequency responses
HEnquist/camilladsp
A flexible cross-platform IIR and FIR engine for crossovers, room correction etc.
Pierian-Data/Plotly-Dashboards-with-Dash
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
Arronno/House-Prices--Advanced-Regression-Techniques-
This Project represents House Price prediction using Advanced Regression Techniques such as ANN's Multilayer Perceptron Regressor(MLPRegressor) or Deep Neural Network with 79 explanatory variables describing almost every aspect of residential homes in Ames, Iowa.