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
Unrolled Generative Adversarial Networks
Capsule network with variations (originally proposed by Tieleman & Hinton (http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf)))
attempt at implementing "Unsupervised Learning of Visual Representations using Videos" (http://arxiv.org/pdf/1505.00687.pdf) in torch7
Unsupervised learning using unlabelled videos. In CVPR 2017.
Unsupervised Learning of Video Representations using LSTMs
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Autogenerated books of dictionary poetry and unusual words
Official code repository for the paper "Unite the People – Closing the Loop Between 3D and 2D Human Representations".
Automatic image captioning model based on Caffe, using features from bottom-up attention.
UPSNet: A Unified Panoptic Segmentation Network
Urban sound classification using Deep Learning
Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
Unitary RNN models implementation in PyTorch: EURNN and GORU
Computer generated building footprints for the United States
Code for the paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf - http://arxiv.org/abs/1608.05859
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
AI inference library based on mbed and TensorFlow
Live Syphon Camera
Video-to-video style transfer using convolutional neural networks
the tensorflow code of "autoencoding beyond pixels using a learned similarity metric"
This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
PyTorch implementation of Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Implementation of Variational Auto-Encoder in Torch7
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Caffe code to accompany my Tutorial on Variational Autoencoders
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Variational Autoencoders & Normalizing Flows Project
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.