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
Neural networks training pipeline based on PyTorch
Attempt at using neural networks for the bAbI project (https://research.facebook.com/researchers/1543934539189348)
Neural recommender system implementation in TensorFlow.
Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
A recurrent neural network for generating little stories about images
Torch implementation of neural style algorithm
TensorFlow implementation for audio neural style.
Torch implementation for audio neural style.
TensorFlow implementation of Neural Style
:pencil2: Neural Style Transfer: A Review
TensorFlow implementation of "A Neural Attention Model for Abstractive Summarization"
Fast and Easy Infinite Neural Networks in Python
An attempt at implementing ideas in "Learning to Transduce with Unbounded Memory" (http://arxiv.org/abs/1506.02516)
Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)
VIS+LSTM model for Visual Question Answering
Sequence-to-sequence models for AMR parsing and generation
An implementation of the paper 'A Neural Algorithm of Artistic Style'.
Implementation of "A Neural Algorithm of Artistic Style" by Tensorflow
Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"
Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021
Embedding Quantization (Compress Word Embeddings)
Neural Contours: Learning to Draw Lines from 3D Shapes (CVPR2020)
Neural conversational model in Torch
State-of-the-art coreference resolution based on neural nets and spaCy
ACL 2018 paper: Dating Documents using Graph Convolution Networks
Neural-based Noise Filtering from Word Embeddings
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
PyTorch implementation for Interpretable Dialog Generation, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Interpreting neural codes
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.