Gela33's starred repositories
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PlotNeuralNet
Latex code for making neural networks diagrams
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
algorithmica
A computer science textbook
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
PhotographicImageSynthesis
Photographic Image Synthesis with Cascaded Refinement Networks
adventures-in-ml-code
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
pytorch-vae
A Variational Autoencoder (VAE) implemented in PyTorch
minibook-2nd-code
Code of the IPython Minibook, 2nd edition (2015)
Introduction-to-Data-Science-in-python
This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
ipython-minibook
UPDATE (2015): This is an old repo, go here for the new edition
Auto-Annotate
Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.
Variational-Autoencoder-PyTorch
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
Industrial-ML
An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications
low-n-protein-engineering
A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented in Biswas et al.
nlp_workshop
nlp workshop at datafest siberia 2019
image-segmentation-auto-labels
A service to auto-generate masks for image segmentation
vue-tips-weekly
Vue Tips Weekly by Michael Thiessen
Profile-Matching-ICDM-2015
The repository contains code, synthetic and real datsets for the paper titled "Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances" published as a short paper in ICDM 2015
learning_deep_learning
Code from when I learned deep learning live on my stream at https://www.twitch.tv/brookzerker