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
Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bojanowski and Joulin.
This repository accompanies our paper "Differentially Private Generation of Small Images"
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"
Noisy Networks for Exploration
Code used for texture synthesis using GAN
An example of non-linear fitting through generative model building in astrophysics.
Web interface for interactive music generation and real-time playback
Curiosity-driven Exploration for Deep Reinforcement Learning by Self-supervised Prediction
Document or binary file vectorization with Normalized Compression Distance in Python.
Tutorial on normalizing flows.
NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW
:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog.
capsule networks that achieves outstanding performance on the German traffic sign dataset
Books as character-interaction networks!
Latent space autoregression for novelty detection.
the code from research paper "Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space" by Arvind Neelakantan* , Jeevan Shankar* , Alexandre Passos, Andrew McCallum
Neural Point-Based Graphics
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Nugget Proposal Networks for Chinese Event Detection
Allen and Yarkoni sitting in a tree, C-O-D-I-N-G.
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
Neural Scene De-rendering
Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks
Implementation for <Neural Similarity Learning> in NeurIPS'19.
🤖 Neural SPARQL Machines translate natural language into SPARQL queries.
Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
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.