daniellutscher Goto Github PK
Name: Daniel Lutscher
Type: User
Location: Berlin
Name: Daniel Lutscher
Type: User
Location: Berlin
Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.
The most cited deep learning papers
Reinforcement learning resources curated
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Reproducible and fast DL & RL.
Colossus βΒ An example microservice architecture for Kubernetes using Bazel, Go, Java, Docker, Kubernetes, Minikube, Gazelle, gRPC, Prometheus, Grafana, and more
Git repo project template using Cookiecutter :cookie:
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
Modularized Implementation of Deep RL Algorithms in PyTorch
A PyTorch implementation of EfficientNet
Code for the research paper: Mixing Consistent Deep Clustering
A list of Medical imaging datasets.
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Combines the SSL Method MixMatch with a pre-trained model (EfficientNet) on a chest x-ray dataset.
an implementation of NSGA-II in java
PipelineAI Kubeflow Distribution
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Python implementation for computation in Riemannian geometry, using OpenBLAS
Skin cancer classification using Inceptionv3
An Open Source Machine Learning Framework for Everyone
Models built with TensorFlow
A best practice for tensorflow project template architecture.
This repository tries to provide unsupervised deep learning models with Pytorch
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
Variational AutoEncoder - Keras implementation on mnist and cifar10 datasets
Variational autoencoder implementation using Tensorflow and Python
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.