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
Dejavu: Motion Prediction in Static Images using structured RF.
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Deluge Networks
A curated list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
A TensorFlow implementation of Neural Program Synthesis from Diverse Demonstration Videos (ICML 2018)
DeMoN: Depth and Motion Network
An implementation of Deep Joint Demosaicking and Denoising - SiGGRAPH Asia 2016
Lifelong Learning with Dynamically Expandable Networks
Dense image captioning in Torch
An aspiring attempt to generate a continuous space of sentences with DenseNet
Code for Densely Connected Convolutional Networks (DenseNet)
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
DenseNet Implementation in Tensorflow
Caffe code for Densely Connected Convolutional Networks (DenseNets)
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Clustering by fast search and find of density peaks
A Python Package for Density Ratio Estimation
Repository for "DeOccNet: Learning to See Through Foreground Occlusions in Light Fields", WACV 2020.
A Deep Learning based project for colorizing and restoring old images
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Experimental projects we've done with DepthAI.
Depth-aware CNN for RGB-D Segmentation, ECCV 2018
PyTorch DepthNet Training on Still Box dataset
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
Big Data Visualization / Research at FKI/HTW Berlin
Hierarchical Object Detection with Deep Reinforcement Learning
Detectorch - detectron for PyTorch
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
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.