Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Models and examples built with TensorFlow
Scrapy, a fast high-level web crawling & scraping framework for Python.
A collection of design patterns/idioms in Python
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Magenta: Music and Art Generation with Machine Intelligence
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Open standard for machine learning interoperability
The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
Keras implementations of Generative Adversarial Networks.
open source Kubernetes-native API gateway for microservices built on the Envoy Proxy
Collection of generative models in Tensorflow
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
A best practice for tensorflow project template architecture.
Quickly and accurately render even the largest data.
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Deep Learning Pipelines for Apache Spark
A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
HAproxy image that autoreconfigures itself when used in Docker Cloud
Top Deep Learning Projects based on their Stars!
An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf
Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Tensorflow implementation of different GANs and their comparisions