232 Open source projects that are alternatives of or similar to Name-NationalOrigin-Classifier

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Alternative approach for Adaptive Computation Time in TensorFlow

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Code for Stanford CS224D: deep learning for natural language understanding

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

Automatic trading bot (WIP)

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Chainer implementation of Deepmind's Visual Attention Model paper

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

Official code for UnICORNN (ICML 2021)

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

A Neural Network based Chatbot

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

Anomaly detection for temporal data using LSTMs

RNN benchmarks of pytorch, tensorflow and theano

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

A curated list of dedicated resources and applications

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Deep-Learning Model Exploration and Development for NLP

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

TensorFlow Tutorials

Codes and Templates from the SuperDataScience Course

A tensorflow implementation of "Generating Sentences from a Continuous Space"

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Ordered Neurons LSTM

Deep learning codes and projects using Python

NLP tutorial

keras project that parses and analyze english resumes

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

HDLTex: Hierarchical Deep Learning for Text Classification

Sentiment Analysis LSTM recurrent neural network's.

Spying using Smartwatch and Deep Learning

Sequence Labeling in Tensorflow

News summarization using sequence to sequence model with attention in TensorFlow.

TensorFlow Implementation of Twitter Chatbot

SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.

Self driving car in GTAV with Deep Learning

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

Advanced file format fuzzer based-on deep neural language models.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

State of the Art Neural Networks for Deep Learning