2419 Open source projects that are alternatives of or similar to Ad_examples

A Keras library for multi-step time-series forecasting.

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

ECE 535 - Course Project, Deep Learning Framework

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Applied Deep Learning (2019 Spring) @ NTU

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

Hybrid Code Networks https://arxiv.org/abs/1702.03274

Thio - a playground for real-time anomaly detection

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

High-performance time series algorithms for Ruby

Lightweight C++11 library for building deep recurrent neural networks

An extremely simple generative adversarial network, built with TensorFlow

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

rnn trained on r/totallynotrobots 🤖

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

A deep learning library to provide algs in pure Numpy or Tensorflow.

Create Anime Characters with MakeGirlsMoe

The Simplest DCGAN Implementation

Synthetic structured data generators

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

A siamese LSTM to detect sentence/question pairs.

Keras implementation of 3D Generative Adversarial Network.

Tidy anomaly detection

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

T2F: text to face generation using Deep Learning

Anomaly detection

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Chart.js plugin for live streaming data

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Code for deep generative prior (ECCV2020 oral)

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

This repository contains a new generative model of chatbot based on seq2seq modeling.

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

An open-source, low-code machine learning library in Python

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Anomaly detection implemented in Keras

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

A stock trading bot that uses machine learning to make price predictions.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Synthesizing and manipulating 2048x1024 images with conditional GANs

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Hastic data management server for analyzing patterns and anomalies from Grafana

Luminaire is a python package that provides ML driven solutions for monitoring time series data.