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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

bytenet

A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .

caml-mimic

multilabel classification of EHR notes

dtm

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

factorial_hmm

FactorialHMM, a Python package for fast exact inference in Factorial Hidden Markov Models

fft

Python code and wav files for the post "The Fast Fourier Transform Algorithm, and Denoising a Sound Clip"

generalising-structural-knowledge

git

Source code for ACL-IJCNLP 2021 Long paper: Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker.

jquery-file-upload

File Upload widget with multiple file selection, drag&drop support, progress bar, validation and preview images, audio and video for jQuery. Supports cross-domain, chunked and resumable file uploads. Works with any server-side platform (Google App Engine, PHP, Python, Ruby on Rails, Java, etc.) that supports standard HTML form file uploads.

mt-ram

Multitask Recalibrated Aggregation Network for Medical Code Prediction (MT-RAM)

onlineldavb

Online variational Bayes for latent Dirichlet allocation (LDA)

paper_records

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

svae

code for Structured Variational Autoencoders

wavernn

WaveRNN Vocoder + TTS