pariyashu

2d_game_unity

alpr

autoencoder_for_background_extraction

This small project shows how to use autoencoder to extract the background from images.

Bachloer_thesis_Relational_investigation_of_Input_resolution_receptive_field_size_and_depth_of_VGG

Bsc_Thesis

Relational investigation of Input resolution , receptive field size and depth of VGG models

data_ethics_outreach

study project Data ethicas and outreach format

Dropout-Regularization

DSx

Hands on tutorials demonstrating the concepts of Prediction engineering, Feature engineering and automation in data science.

ESRNN-GPU

PyTorch GPU implementation of the ES-RNN model for time series forecasting

rossman-store-sales

Winning entry for ML class's sales prediction competition

pariyashu/rossman-store-sales

Winning entry for ML class's sales prediction competition

pariyashu/2d_game_unity

pariyashu/alpr

pariyashu/autoencoder_for_background_extraction

This small project shows how to use autoencoder to extract the background from images.

pariyashu/Bachloer_thesis_Relational_investigation_of_Input_resolution_receptive_field_size_and_depth_of_VGG

pariyashu/Bsc_Thesis

Relational investigation of Input resolution , receptive field size and depth of VGG models

pariyashu/data_ethics_outreach

study project Data ethicas and outreach format

pariyashu/Dropout-Regularization

pariyashu/DSx

Hands on tutorials demonstrating the concepts of Prediction engineering, Feature engineering and automation in data science.

pariyashu/ESRNN-GPU

PyTorch GPU implementation of the ES-RNN model for time series forecasting

pariyashu/face-recognition

Face Recognition Model trained with Siamese Network and Triplet Loss function in TensorFlow

pariyashu/feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

pariyashu/Hands-On-Computer-Vision-with-OpenCV-4-Keras-and-TensorFlow-2

Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2 [Video], published by Packt

pariyashu/lectures

Lectures for the course "Scientific programming in Python"

pariyashu/memefluencer.github.io

pariyashu/MLfromscratch

Machine Learning algorithm implementations from scratch.

pariyashu/phd-lab

Experimentor based on delve-deep-dive

pariyashu/py-ml

pariyashu/Rossmann-Sales-Prediction

pariyashu/rossmann_TSA_forecasts

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

pariyashu/spytorch

Tutorial for surrogate gradient learning in spiking neural networks

pariyashu/tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

pariyashu/tsfresh

Automatic extraction of relevant features from time series:

pariyashu/unity_game_project

pariyashu/yolov3workflow

This workflow aims to make it easy to train and execute Yolo v3 object detection on Windows.

pariyashu/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite