Gela33

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

vue-tips-weekly

Vue Tips Weekly by Michael Thiessen

Naive-Bayes-Classifier-from-scratch

Naive-Bayes

Industrial-ML

An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications

algorithmica

A computer science textbook

Variational-Autoencoder-PyTorch

Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset

pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

UniRep

UniRep model, usage, and examples.

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.

ALRNet

ALRNet: Attention guided label refinement network for semantic segmentation of VHR aerial images

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

PhotographicImageSynthesis

Photographic Image Synthesis with Cascaded Refinement Networks

image-segmentation-auto-labels

A service to auto-generate masks for image segmentation

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.

PlotNeuralNet

Latex code for making neural networks diagrams

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Seminars

Занятия по Machine Learning клуба AI Community Innopolis

nlp_workshop

nlp workshop at datafest siberia 2019

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

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

learning_deep_learning

Code from when I learned deep learning live on my stream at https://www.twitch.tv/brookzerker

minibook-2nd-code

Code of the IPython Minibook, 2nd edition (2015)

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

ipython-minibook

UPDATE (2015): This is an old repo, go here for the new edition