Stars
VIP cheatsheets for Stanford's CS 230 Deep Learning
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A collection of infrastructure and tools for research in neural network interpretability.
Save keras weight matrices as short animated videos during training
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
Computations and statistics on manifolds with geometric structures.
A library for Multilingual Unsupervised or Supervised word Embeddings
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Keras-based implementation of Relational Graph Convolutional Networks
Implementation of Graph Auto-Encoders in TensorFlow
Web interface for browsing, search and filtering recent arxiv submissions
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Facilitating the design, comparison and sharing of deep text matching models.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A chatbot based on seq2seq architecture done with tensorflow.
Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Question Pairs dataset.
An open-source NLP research library, built on PyTorch.
data and scripts for the shared task "Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)" at SemEval 2015