1652 Open source projects that are alternatives of or similar to Rgan

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

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[CVPR2020] Adversarial Latent Autoencoders

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

paper note, including personal comments, introduction, code etc

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

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

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A toolkit for working with time series in R

Collection of useful data science topics along with code and articles

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Slimefun 4 - A unique Spigot/Paper plugin that looks and feels like a modpack. We've been giving you backpacks, jetpacks, reactors and much more since 2013.

Python wrapper for the arXiv API

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SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

Low-latency algorithmic trading platform written in Rust

Keras tutorial for beginners (using TF backend)

The Most Powerful and Feature Rich Minecraft Server Software!

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Python implementation of Empirical Mode Decompoisition (EMD) method

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OptNet: Differentiable Optimization as a Layer in Neural Networks

Highly comparative time-series analysis

Multiple implementations for abstractive text summurization , using google colab

A Python Library for Health Predictive Models

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

Fully Convlutional Neural Networks for state-of-the-art time series classification

论文写作与资料分享

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Accumulo backed time series database

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

Solve captcha without manually labeling a training set

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Real-time multi-physics simulation with an emphasis on medical simulation.

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PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"

The CHT Core Framework makes it faster to build responsive, offline-first digital health apps that equip health workers to provide better care in their communities. It is a central resource of the Community Health Toolkit.

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Series and Panels for Real-time and Exploratory Analysis of Data Streams

Papers, code and datasets about deep learning and multi-modal learning for video analysis

Python module for machine learning time series:

Experiments for understanding disentanglement in VAE latent representations

Distributable time-series database (not actively maintained)

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[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

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Interactive Image Generation via Generative Adversarial Networks

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