Gela33

Gela33's Stars

• microsoft/ML-For-Beginners

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

  Language:HTML69k14.3k

• aapatel09/handson-unsupervised-learning

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

  Language:Jupyter Notebook642325

• docschina/vue-tips-weekly

  Vue Tips Weekly by Michael Thiessen

  Language:JavaScript61

• tigju/Naive-Bayes-Classifier-from-scratch

  Language:Jupyter Notebook1823

• ContentUpgrad/Naive-Bayes

  Language:Jupyter Notebook9240

• YKatser/Industrial-ML

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

  9214

• algorithmica-org/algorithmica

  A computer science textbook

  Language:Jupyter Notebook3.3k314

• bhpfelix/Variational-Autoencoder-PyTorch

  Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset

  Language:Python16450

• ethanluoyc/pytorch-vae

  A Variational Autoencoder (VAE) implemented in PyTorch

  Language:Python408107

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.5k1.1k

• churchlab/UniRep

  UniRep model, usage, and examples.

  Language:Python33496

• ivanjayapurna/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.

  Language:Jupyter Notebook268

• CHUANQIFENG/ALRNet

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

  Language:Jupyter Notebook1

• ankushkwal/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

  Language:Matlab22

• CQFIO/PhotographicImageSynthesis

  Photographic Image Synthesis with Cascaded Refinement Networks

  Language:Python1.2k226

• CatalystCode/image-segmentation-auto-labels

  A service to auto-generate masks for image segmentation

  Language:Python226

• mdhmz1/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.

  Language:Python18028

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.8k2.8k

• milesial/Pytorch-UNet

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

  Language:Python8.9k2.5k

• adventuresinML/adventures-in-ml-code

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

  Language:Jupyter Notebook1k640

• sgrvinod/a-PyTorch-Tutorial-to-Object-Detection

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

  Language:Python3k713

• matterport/Mask_RCNN

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

  Language:Python24.5k11.7k

• AICommunityInno/Seminars

  Занятия по Machine Learning клуба AI Community Innopolis

  Language:Jupyter Notebook6342

• buriy/nlp_workshop

  nlp workshop at datafest siberia 2019

  Language:HTML224

• nicodjimenez/lstm

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

  Language:Python1.7k651

• sidsriv/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

  Language:Jupyter Notebook216437

• brooks-builds/learning_deep_learning

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

  Language:JavaScript1

• ipython-books/minibook-2nd-code

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

  Language:Jupyter Notebook341160

• wesm/pydata-book

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

  Language:Jupyter Notebook22k15.1k

• rossant/ipython-minibook

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

  Language:Python20496