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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

face-recognition

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

feature-engineering-book

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

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

lectures

Lectures for the course "Scientific programming in Python"

memefluencer.github.io

mlfromscratch

Machine Learning algorithm implementations from scratch.

phd-lab

Experimentor based on delve-deep-dive

py-ml

rossman-store-sales

Winning entry for ML class's sales prediction competition

rossmann-sales-prediction

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.

spytorch

Tutorial for surrogate gradient learning in spiking neural networks

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tsfresh

Automatic extraction of relevant features from time series:

unity_game_project

yolov3workflow

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

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite