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
Generalized generative convolutional nueral network
Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
Code for "Learning to Generate Reviews and Discovering Sentiment"
Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
Function that output the 5 most similar training (real) images to the given generated (fake) images.
My exploration on Generative Model, mainly focus on GAN architecture
Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.
Neural scene representation and rendering (GQN)
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
The source code of CVPR17 'Generative Face Completion'.
Here is a series of face generators based on StyleGAN2
Genetic Algorithm for Machinery Usage Scheduling
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Topic Modelling for Humans
gentle forced aligner
Haskell library of data types and calculations for positions on planet Earth
Geo-sensory time series prediction, IJCAI-18
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)
Riemannian Adaptive Optimization Methods with pytorch optim
The implementation for the work "Graph-Free Knowledge Distillation for Graph Neural Networks".
Graphical analysis of random forests with the randomForestSRC and ggplot2 packages.
Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)
The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.
Set of Machine Learning Python plugins for GIMP
GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems
Generative Latent Attentive Sampler
General Latent Feature Modeling for Heterogeneous data
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.