be-redAsmara

Distracted-Driver-Detection

Final Report

Referring-Expression-Generation-and-Comprehension-

Research Paper

3D-Machine-Learning

A resource repository for 3D machine learning

abstractive-text-summarization

PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.

Awesome-Mobility-Machine-Learning-Contents

Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

crop_yield_prediction

Crop Yield Prediction with Deep Learning

cs581-database-management

This project evaluates ride-sharing algorithms on spatio-temporal data. The data in this case represents nearly 700 million trips in New York City.

DAgger

Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)

Deep-Learning-Cheat-Sheets

Cheat Sheet - RNN and CNN

deepul

devops-master-class

Learn Devops with Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops

fairseq-transliteration.ipynb

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

IROS2019-paper-list

IROS2019 paper list from PaopaoRobot

lara2018

This repository is intended to develop the work supported by the Latin America Research Awards 2018.

learn

Neuro-symbolic interpretation learning (mostly just language-learning, for now)

lowresource-nlp-bootcamp-2020

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

machine_learning_examples

A collection of machine learning examples and tutorials.

nn4nlp-code

Code Samples from Neural Networks for NLP

NSCL-PyTorch-Release

PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).

probnmn-clevr

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

PySyft

A library for encrypted, privacy preserving machine learning

pytorch-Deep-Learning

Deep Learning (with PyTorch)

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. [IN PROGRESS]

SDE

Source code for the paper "Multilingual Neural Machine Translation with Soft Decoupled Encoding"

speaker_listener_reinforcer

Torch Implementation of Speaker-Listener-Reinforcer for Referring Expression Generation and Comprehension

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tydiqa

TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.