Ala1s's Stars
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
dpgaspar/Flask-AppBuilder
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
ozanciga/gans-with-pytorch
Various implementations of Generative adversarial networks using Pytorch
ntrang086/image_captioning
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
hlamba28/Automatic-Image-Captioning
Generating Captions for images using Deep Learning
yashk2810/Image-Captioning
Image Captioning using InceptionV3 and beam search
euler16/Image-Captioning-TensorFlowjs
hse-aml/intro-to-dl
Resources for "Introduction to Deep Learning" course.
jazzsaxmafia/show_and_tell.tensorflow
vahidk/EffectiveTensorflow
TensorFlow tutorials and best practices.
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
sassoftware/dm-flow
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
JK0N/tensorflow-image-recognition-chrome-extension
Chrome browser extension for using TensorFlow image recognition on web pages
diefimov/MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
harshilpatel312/open-images-downloader
Download specific objects from Open-Images Dataset
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
TheAlgorithms/Python
All Algorithms implemented in Python