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pytorch-chatbot

Simple chatbot implementation with PyTorch.

pytorch-cheatsheet

Check out improved:

pytorch-flask-starter

🐍+🔥This project is aimed to help Pytorch machine learning developers to quickly build a Flask web app in a Docker container ready to be deployed.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_coding_challenge_live

This is the code for "PyTorch Coding Challenge LIVE" By Siraj Raval on Youtube

pytorchupandrunning

Code for Programming PyTorch for Deep Learning

recomendation-system

Design & Development of a Recommendation System for Goodreads & Development of a Multi-Label Classification Model from textual data using Deep Learning

recomendation_system

reinforcement-learning-mini-projects

Reinforcement Learning Mini Projects

reinforcement_learning_for_stock_prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

seaborn-tutorial

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

seaborn-tutorial-1

awesome graphs of seaborn is here for beginners

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

simple-games

simplechatbot

A simple chatbot intended for my junior project.

skillfactory_ml

http://skillfactory.ru/ml-programma-machine-learning

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

timeseries

Implementation of deep learning models for time series in PyTorch.

timeseries-forecasting-examples

TimeSeries-Forecasting-Examples

timeseries_s

tkinter-by-example

Learn Tkinter By Example - a free book

tkinter-projects

Here are some small Tkinter-Projects according to "Tkinter GUI Application Development"

tkinterpractice

Practicing with Tkinter for Graphical User Interfaces in Python

traffic-sign-detection

Traffic signs detection and classification in real time

traffic-sign-recognition

Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.

traffic-signs-recognition

Traffic Signs Recognition (GTSRB) in PyTorch with STN and heavy data augmentation.

tutorials

PyTorch tutorials.

udacity-image-classification

Udacity Data Science Nanodegree program, deep learning on Pytorch, image classification (flowers)

udacity_identuify_customer_segments

A Udacity project to implement clustering algorithms to segment customers with the goal of optimizing customer outreach for a mail order company, with the help of demographic and spending data for a sample of German households.