828 Open source projects that are alternatives of or similar to DeepEcho

PyTorch implementations of neural networks for timeseries classification

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This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

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Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Functions for easily making publication-quality figures with matplotlib.

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Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

Creating a model to analyze and predict the trend of the prices of gold.

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

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Probably the best curated list of data science books in Python

Statistical inference on machine learning or general non-parametric models

Paper notes in deep learning/machine learning and computer vision

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

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

A sketch extractor for anime/illustration.

The Gretel Python Client allows you to interact with the Gretel REST API.

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Tensorflow implementation of paper "unsupervised image to image translation networks"

Example repository showing how to utilise k6 and faker to load test using generated data

An overview of univariate time series forecasting models with sample code.

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Python package for early warning signals (EWS) of bifurcations in time series data.

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!

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Reusable CNN and RNN model doing time series binary classification

Assessing Generative Models via Precision and Recall (official repository)

An OpenTSDB-like time series database, with much better performance.

30 Days GANs Paper Reading

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Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Using LSTM network for time series forecasting

⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

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An effective time-series data compression/decompression method based on Facebook's Gorilla.

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PyTorch implementation of TSception

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Time series annotation library.

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)