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
Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"
Object Segmentation (NIPS 2014)
Torch Implementation of NIPS'16 paper: Perspective Transformer Nets
Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)
Implementation of "Action-Conditional Video Prediction using Deep Networks in Atari Games"
Learning What and Where to Draw
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
C++ implementation of the ECCV 2016 paper, Natural Image Stitching with the Global Similarity Prior.
Generating bash command from natural language https://arxiv.org/abs/1802.08979
Tensorflow implementation of "An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning"
NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding
A list of datasets/corpora for NLP tasks, in reverse chronological order.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Natural Language Engine on WikiData
The reference implementation for the Non Local Spatial and Angular Matching (NLSAM) denoising algorithm for diffusion MRI
Neutral model
Dynamically predicted neural network structures for multi-domain question answering
A list of Neural MT implementations
Neural Machine Translation Framework in PyTorch
Neural network training using iterated projections.
Low precision Torch nn library using uint8_t GEMM (experiment)
The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Weight initialisation schemes for Torch7 neural network modules
Weight initialization schemes for PyTorch nn.Modules
Acceleration package for neural networks on multi-core CPUs
Deep Neural Network for object segmentation.
Neural networks for quantum circuits
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.