Stars
Workbooks for the Kinetica Workbench
Gazelle is a Bazel build file generator for Bazel projects. It natively supports Go and protobuf, and it may be extended to support new languages and custom rule sets.
Gotta catch'em all - coursework for Imperial's Distributed Ledgers course.
Examples of some "porcelain" git commands implemented with python bindings (pygit2) to the libgit2 library.
Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
System design interview for IT companies
Java client library for Google Maps API Web Services
A Scala API for Apache Beam and Google Cloud Dataflow.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.
🔮 Word by word audio subtitle synchronisation tool and API. Developed under GSoC 2017 with CCExtractor.
kaldi-asr/kaldi is the official location of the Kaldi project.
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
Keras implementations of Generative Adversarial Networks.
Models and examples built with TensorFlow
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A library for Multilingual Unsupervised or Supervised word Embeddings
Speech2vec pre-trained word vectors
Must-read papers on graph neural networks (GNN)
Library for fast text representation and classification.
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.
Implementation of Graph Convolutional Networks in TensorFlow
A repository containing tutorials for practical NLP using PyTorch
Gaussian Process and Uncertainty Quantification Summer School 2018
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.