ml-lab Goto Github PK
Type: Organization
Bio: forks of interesting repos relating to machine learning
Type: Organization
Bio: forks of interesting repos relating to machine learning
Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Keras code and weights files for popular deep learning models.
Training deep neural networks with low precision multiplications
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep-Learning convolutional auto-encoders applied to super-resolution microscopy data to localization image reconstruction.
Enumerate diverse machine learning training tricks.
Deep learning with cats (^._.^)
Open source guides for mastering deep learning to deploying deep learning in production in PyTorch.
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework
AutoML framework balancing performance and complexity
Deep Neuroevolution
Code and data for paper "Deep Painterly Harmonization"
Pytorch implementation of deep person re-identification models.
TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Tensorflow (Python API) implementation of Deep Photo Style Transfer
Deep Pink is a chess AI that learns to play chess using deep learning.
Metasploit for machine learning.
Code for the paper Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge (EMNLP 2016). http://arxiv.org/abs/1608.03000
PyTorch implementations of deep reinforcement learning algorithms and environments
Hands-on Deep Reinforcement Learning, published by Packt
A list of deep neural network architectures for reinforcement learning tasks.
A list of recent papers regarding deep reinforcement learning
My Exploration on Deep Reinforcement Learning Survey
Deep Residual Learning for Image Recognition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.