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timeseries-seq2seq-deeplstms-keras

This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

timeseriesanalysiswithpython

tor

Tor is a python based module for using tor proxy/network services on windows, osx, linux with just one click.

torchcrf

An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0

transformer

Transformer seq2seq model, program that can build a language translator from parallel corpus

triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras

tutmom

Tutorial on "Modern Optimization Methods in Python"

tweete

Tools for scraping of twitter data, conversion, text analysis and graph construction

ublog

personal blog

udemy-dl

A cross-platform python based utility to download courses from udemy for personal offline use.

udemy-dl-1

Nodejs script to download a udemy.com course, for personal offline use

ultrasound-nerve-segmentation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

understanding-pytorch-batching-lstm

Understanding and visualizing PyTorch Batching with LSTM

unosonu.github.io

unsupervisedmt

Phrase-Based & Neural Unsupervised Machine Translation

usc_dae

Repository for Unsupervised Sentence Compression using Denoising Auto-Encoders

variational-autoencoder

generate MNIST using a Variational Autoencoder

vhred-implementation-in-tensorflow

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues (VHRED) - Implementation in Tensorflow

vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

wide-and-deep-keras

Keras implementation of Tensorflow's Wide and Deep Algorithm

wide-and-deep-learning-keras

Wide and Deep Learning implemented with Keras

wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

wideresnet-pytorch

Wide Residual Networks (WideResNets) in PyTorch

wideresnet-tensorlayer

Wide Residual Networks implemented in TensorLayer and TensorFlow.

wireguard-fast

Simplified installation of WireGuard server for Ubuntu

yolact-tutorial

A tutorial for using YOLACT in Google Colab

yolo_tensorflow

YOLO v1 implentation in tensorflow, with training, testing and video features.

yv-dl

Yv-dl is python based Youtube video,audio,playlist downloader and live streamer for Youtube audio and video and also downloads vimeo.com videos